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and new innovation.
OUR FEATURES
Available globally, close to your application. Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. You supply the data, the queries and the custom business logic. We take care of the rest. It justworks.
JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation. GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE Welcome back, fellow space developer! We will continue our FQL space journey in this five-part series of articles. Part 1: a look at FQL and fundamental Fauna concepts Part 2: a deep dive into indexes with Fauna Part 3: a look into the principles GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGEAUTHOR: PIERBOVER
In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKER As with most new databases these days, I decided to setup a cluster on my laptop using docker. Docker provides a nice way to keep things very simple and clean. My first step was to pull the FaunaDB container image from docker hub. $ docker pull fauna/faunadb:latest latest: Pulling from fauna/faunadb be8881be8156: Pull complete 60f08eedb1d2 INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju C# DRIVER | FAUNA DOCUMENTATION How to instantiate a Fauna FaunaClient. var client = new FaunaClient( endpoint: ENDPOINT, secret: SECRET, httpClient: HTTP_CLIENT, timeout: TIMEOUT ); secret is the only required argument. All other arguments are optional. You can also pass a custom HttpClient when creating anew FaunaClient:
JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.COLLECTIONS
The Collections function, when executed with Paginate, returns an Array of Reference s for all collections in the specified child database. If a child database is not specified, the returned collection references all belong to the current database. When a child database is specified, an admin key must be used to call Collections (server or
FAUNA | THE DATA API FOR MODERN APPLICATIONSCLOUD STATUSCOMMUNITYLOGINSIGNUPCAREERSPRICING data API. for modern applications. Fauna is a flexible, developer-friendly, transactional database delivered as a secure and scalable cloud API with native GraphQL. Never again worry about database provisioning, scaling, sharding, replication, or correctness. The serverless cloud database of choice for application modernizationand new innovation.
OUR FEATURES
Available globally, close to your application. Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. You supply the data, the queries and the custom business logic. We take care of the rest. It justworks.
JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation. GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE Welcome back, fellow space developer! We will continue our FQL space journey in this five-part series of articles. Part 1: a look at FQL and fundamental Fauna concepts Part 2: a deep dive into indexes with Fauna Part 3: a look into the principles GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGEAUTHOR: PIERBOVER
In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKER As with most new databases these days, I decided to setup a cluster on my laptop using docker. Docker provides a nice way to keep things very simple and clean. My first step was to pull the FaunaDB container image from docker hub. $ docker pull fauna/faunadb:latest latest: Pulling from fauna/faunadb be8881be8156: Pull complete 60f08eedb1d2 INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju C# DRIVER | FAUNA DOCUMENTATION How to instantiate a Fauna FaunaClient. var client = new FaunaClient( endpoint: ENDPOINT, secret: SECRET, httpClient: HTTP_CLIENT, timeout: TIMEOUT ); secret is the only required argument. All other arguments are optional. You can also pass a custom HttpClient when creating anew FaunaClient:
JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.COLLECTIONS
The Collections function, when executed with Paginate, returns an Array of Reference s for all collections in the specified child database. If a child database is not specified, the returned collection references all belong to the current database. When a child database is specified, an admin key must be used to call Collections (server or
PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly.JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation. AN OPERATIONS-FREE, SCALABLE AND FLEXIBLE POSTGRES ALTERNATIVE An operations-free, scalable and flexible alternative to Postgres. Validated by Jepsen, Fauna is a flexible, developer-friendly, transactional database delivered to you as a secure, web-native API that integrates easily with your preferred programming language. INTRODUCING AUTOMATED LOG TOPOLOGY IN FAUNA 2.6 Introducing Automated Log Topology in Fauna 2.6. One of the most exciting features of the Fauna 2.6 release is the automated log topology. Prior to this release, setting up the log topology was a manual process where an enterprise operator had to decide on a log topology upfront, and then repeat that in the Fauna configuration fileon each node
FQL CHEAT SHEET
Tests whether an array or set is empty. Tests whether an array or set contains items. Applies a function to all array items. Returns the largest value in a list of numbers. Returns the average value of the items in an array or set. Returns the smallest value in a list of numbers. Adds items to start of array. FAUNA-SHELL REFERENCE fauna-shell. reference. fauna-shell is a command line tool that lets you execute Fauna queries interactively, to help you explore the capabilities of Fauna. This section explains how to install fauna-shell and provides a reference for everything that fauna-shell can do. See Configuration for details on configuring fauna-shell. ANNOUNCING ADVANCED STRING AND AGGREGATE FUNCTIONS IN FQL Announcing Advanced String and Aggregate Functions in FQL. We’re pleased to announce new FQL capabilities that empower users to write more concise and powerful FQL statements with aggregate functions for sets (Count, Mean, Sum); string predicate functions (StartsWith, EndsWith, ContainsStr, ContainsStrRegex, RegexEscape); theMoveDatabase
@RESOLVER | FAUNA DOCUMENTATION The @resolver directive marks a Query or Mutation that has an associated user-defined function in the database. Queries to fields annotated with the @resolver directive are resolved by calling the underlying user-defined function, which is a Fauna Query LanguageLambda function.
UPDATE | FAUNA DOCUMENTATION The Update operation only modifies the specified fields in the documents pointed to by ref. Updates are partial, and only modify values that are specified in the param_object. Changes to scalar values and arrays are entirely replaced by the new data. Modifications to objects are merged. Setting a value to null completely removes thevalue.
EXISTS | FAUNA DOCUMENTATION Description. The Exists function returns boolean true if the provided ref exists at the specified timestamp (in the case of a document), or is non-empty (in the case of a set), and false otherwise. FAUNA | THE DATA API FOR MODERN APPLICATIONSCLOUD STATUSCOMMUNITYLOGINSIGNUPCAREERSPRICING data API. for modern applications. Fauna is a flexible, developer-friendly, transactional database delivered as a secure and scalable cloud API with native GraphQL. Never again worry about database provisioning, scaling, sharding, replication, or correctness. The serverless cloud database of choice for application modernizationand new innovation.
OUR FEATURES
Available globally, close to your application. Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. You supply the data, the queries and the custom business logic. We take care of the rest. It justworks.
JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation. ALTERNATIVE TO POSTGRESQL An operations-free, scalable and flexible alternative to Postgres. Validated by Jepsen, Fauna is a global, ACID-compliant document database. It’s delivered as a serverless API and works with your preferred programming language. SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKER As with most new databases these days, I decided to setup a cluster on my laptop using docker. Docker provides a nice way to keep things very simple and clean. My first step was to pull the FaunaDB container image from docker hub. $ docker pull fauna/faunadb:latest latest: Pulling from fauna/faunadb be8881be8156: Pull complete 60f08eedb1d2 INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had juFQL CHEAT SHEET
Tests whether an array or set is empty. Tests whether an array or set contains items. Applies a function to all array items. Returns the largest value in a list of numbers. Returns the average value of the items in an array or set. Returns the smallest value in a list of numbers. Adds items to start of array. FAUNA-SHELL REFERENCE fauna-shell. reference. fauna-shell is a command line tool that lets you execute Fauna queries interactively, to help you explore the capabilities of Fauna. This section explains how to install fauna-shell and provides a reference for everything that fauna-shell can do. See Configuration for details on configuring fauna-shell. JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size. DELETE | FAUNA DOCUMENTATION The Delete function removes a document. This includes user-created documents, plus system documents for Collections, Indexes, Databases, etc. When you delete a Database, all of its documents, Collections, child Databases, Functions, Indexes, Keys, Roles, and Tokens are also deleted. When you delete a Collection, all documents within theOUR FEATURES
Available globally, close to your application. Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. You supply the data, the queries and the custom business logic. We take care of the rest. It justworks.
JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation.PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly. ALTERNATIVE TO POSTGRESQL An operations-free, scalable and flexible alternative to Postgres. Validated by Jepsen, Fauna is a global, ACID-compliant document database. It’s delivered as a serverless API and works with your preferred programming language. GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKER As with most new databases these days, I decided to setup a cluster on my laptop using docker. Docker provides a nice way to keep things very simple and clean. My first step was to pull the FaunaDB container image from docker hub. $ docker pull fauna/faunadb:latest latest: Pulling from fauna/faunadb be8881be8156: Pull complete 60f08eedb1d2 INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju FAUNA-SHELL REFERENCE fauna-shell. reference. fauna-shell is a command line tool that lets you execute Fauna queries interactively, to help you explore the capabilities of Fauna. This section explains how to install fauna-shell and provides a reference for everything that fauna-shell can do. See Configuration for details on configuring fauna-shell. JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.JAVASCRIPT DRIVER
The following example is an HTML page that uses the JavaScript driver and plain JavaScript to establish a stream on a document in the Scores collection, with document ID 1. To make this example work: Replace YOUR_FAUNA_SECRET with the secret that you use to FAUNA | THE DATA API FOR MODERN APPLICATIONS data API. for modern applications. Fauna is a flexible, developer-friendly, transactional database delivered as a secure and scalable cloud API with native GraphQL. Never again worry about database provisioning, scaling, sharding, replication, or correctness. The serverless cloud database of choice for application modernizationand new innovation.
PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly. ALTERNATIVE TO POSTGRESQL An operations-free, scalable and flexible alternative to Postgres. Validated by Jepsen, Fauna is a global, ACID-compliant document database. It’s delivered as a serverless API and works with your preferred programming language. TUTORIALS | FAUNA DOCUMENTATION Learn about the Fauna’s fundamental concepts, including documents, collections, indexes, data modeling, custom functions, plus authentication and authorization in the 5-part Basics tutorial.. Learn how to create, read, update, and delete documents with our CRUD tutorial. Learn how to use indexes to sort, search, or to search and sort documents.. Fauna is a bi-temporal database. DOCUMENTS | FAUNA DOCUMENTATION Documents have an identifier called a Reference (or just Ref). A document’s Reference is a compound value comprising its collection along with a unique document ID. A Reference is a unique identifier for the document within the scope of the database in which it is stored.. User-specified documents have a timestamp that identifies when the document was most recently updated. GET | FAUNA DOCUMENTATION The Get function retrieves a single document identified by a Reference.An optional Timestamp (ts) can be provided to retrieve the document version that existed at the specific date and time.If the timestamp is omitted, the default is the current time.JAVASCRIPT DRIVER
The following example is an HTML page that uses the JavaScript driver and plain JavaScript to establish a stream on a document in the Scores collection, with document ID 1. To make this example work: Replace YOUR_FAUNA_SECRET with the secret that you use to SELECT | FAUNA DOCUMENTATION Description. The Select function extracts a single value from a document. It extracts the value specified by the path parameter out of the from parameter and returns the value. If the path does not exist, the optional default value is returned. DELETE | FAUNA DOCUMENTATION The Delete function removes a document. This includes user-created documents, plus system documents for Collections, Indexes, Databases, etc. When you delete a Database, all of its documents, Collections, child Databases, Functions, Indexes, Keys, Roles, and Tokens are also deleted. When you delete a Collection, all documents within the @RELATION | FAUNA DOCUMENTATION Description. The @relation directive marks the annotated field as participating in a bi-directional relationship with the target type. The name argument defines the name of the relationship, and is useful if there is any ambiguity in relationship construction. For example, if the target type has two fields referring to the source type.JAMSTACK DATABASE
Fauna delivers a powerful data management experience with native support for GraphQL and scales transparently with your traffic. It completely eliminates the overhead of managing database resources, adding middleware, and stitching together your own backend, and lets you focus your efforts on your Jamstack application. INTRODUCING AUTOMATED LOG TOPOLOGY IN FAUNA 2.6 One of the most exciting features of the Fauna 2.6 release is the automated log topology. Prior to this release, setting up the log topology was a manual process where an enterprise operator had to decide on a log topology upfront, and then repeat that in the Fauna configuration file on each node within and across a replica. The operator also had to be educated on how to associate a log INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE Welcome back, fellow space developer! In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts Part 2: a deep dive into indexes with Fauna Part 3: SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKER Every Oracle DBA will have a RAC setup story to tell. It can range from the time it took, the patches they had to install midway, or not being able to connect to the database for no apparent reason. Having lived through these experiences over the yea ATTRIBUTE-BASED ACCESS CONTROL (ABAC) ABAC is an extension of traditional role-based access control (RBAC), where roles can define privileges that can be dynamically determined based on any attribute of the actor attempting to access or modify data (e.g. have they completed a specific training?), any attribute of the data to be accessed or modified (for example, is the document in "review" state?), or contextual information JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.COLLECTIONS
The Collections function, when executed with Paginate, returns an Array of References for all collections in the specified child database.If a child database is not specified, the returned collection references all belong to the current database. SELECT | FAUNA DOCUMENTATION If from is an Object that contains nested objects, path can be expressed as an Array containing field names, or array offsets, that lead to the desired value within the structure of from.For example: @RESOLVER | FAUNA DOCUMENTATION The @resolver directive marks a Query or Mutation that has an associated user-defined function in the database. Queries to fields annotated with the @resolver directive are resolved by calling the underlying user-defined function, which is a Fauna Query LanguageLambda function.
JAMSTACK DATABASE
Fauna delivers a powerful data management experience with native support for GraphQL and scales transparently with your traffic. It completely eliminates the overhead of managing database resources, adding middleware, and stitching together your own backend, and lets you focus your efforts on your Jamstack application. INTRODUCING AUTOMATED LOG TOPOLOGY IN FAUNA 2.6 One of the most exciting features of the Fauna 2.6 release is the automated log topology. Prior to this release, setting up the log topology was a manual process where an enterprise operator had to decide on a log topology upfront, and then repeat that in the Fauna configuration file on each node within and across a replica. The operator also had to be educated on how to associate a log INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE Welcome back, fellow space developer! In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts Part 2: a deep dive into indexes with Fauna Part 3: SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKER Every Oracle DBA will have a RAC setup story to tell. It can range from the time it took, the patches they had to install midway, or not being able to connect to the database for no apparent reason. Having lived through these experiences over the yea ATTRIBUTE-BASED ACCESS CONTROL (ABAC) ABAC is an extension of traditional role-based access control (RBAC), where roles can define privileges that can be dynamically determined based on any attribute of the actor attempting to access or modify data (e.g. have they completed a specific training?), any attribute of the data to be accessed or modified (for example, is the document in "review" state?), or contextual information JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.COLLECTIONS
The Collections function, when executed with Paginate, returns an Array of References for all collections in the specified child database.If a child database is not specified, the returned collection references all belong to the current database. SELECT | FAUNA DOCUMENTATION If from is an Object that contains nested objects, path can be expressed as an Array containing field names, or array offsets, that lead to the desired value within the structure of from.For example: @RESOLVER | FAUNA DOCUMENTATION The @resolver directive marks a Query or Mutation that has an associated user-defined function in the database. Queries to fields annotated with the @resolver directive are resolved by calling the underlying user-defined function, which is a Fauna Query LanguageLambda function.
OUR FEATURES
Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. Sign up forfree.
INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE Welcome back, fellow space developer! In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts Part 2: a deep dive into indexes with Fauna Part 3: GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE Welcome back, fellow space developer! Part 1: a look at FQL and fundamental Fauna concepts Part 2: a deep dive into indexes with Fauna Part 3: a look into the principles of modeling data with Fauna Part 4: a look at how to create custom functio LEARNING FQL, PART 1: FAUNA SCHEMA OBJECTS This series introduces the Fauna Query Language, giving examples of patterns and APIs that you’ll interact with as you use the database. This is the first article in the series, and discusses the primitive objects that you’ll work with in Fauna ATTRIBUTE-BASED ACCESS CONTROL (ABAC) ABAC is an extension of traditional role-based access control (RBAC), where roles can define privileges that can be dynamically determined based on any attribute of the actor attempting to access or modify data (e.g. have they completed a specific training?), any attribute of the data to be accessed or modified (for example, is the document in "review" state?), or contextual informationAPI REFERENCES
Fauna is a flexible, developer-friendly, transactional database delivered to you as a secure, web-native API.JAVASCRIPT DRIVER
Fauna is a flexible, developer-friendly, transactional database delivered to you as a secure, web-native API. GET | FAUNA DOCUMENTATION The Get function retrieves a single document identified by a Reference.An optional Timestamp (ts) can be provided to retrieve the document version that existed at the specific date and time.If the timestamp is omitted, the default is the current time. UPDATE | FAUNA DOCUMENTATION The Update operation only modifies the specified fields in the documents pointed to by ref.Updates are partial, and only modify values that are specified in the param_object.Changes to scalar values and arrays are entirely replaced by the new data.OUR FEATURES
Available globally, close to your application. Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. You supply the data, the queries and the custom business logic. We take care of the rest. It justworks.
FREE SERVERLESS DATABASE Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. With an innovative query model that lets you encapsulate business logic into programmable functions executed close to your data, Fauna boostsapplication
PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly.JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation. INTRODUCING AUTOMATED LOG TOPOLOGY IN FAUNA 2.6 Introducing Automated Log Topology in Fauna 2.6. One of the most exciting features of the Fauna 2.6 release is the automated log topology. Prior to this release, setting up the log topology was a manual process where an enterprise operator had to decide on a log topology upfront, and then repeat that in the Fauna configuration fileon each node
GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKERDOCKER COMPOSE UP DETACHDOCKER CONNECT TO LOCAL DATABASEMYSQL CLUSTER DOCKERPOSTGRESQLCLUSTER DOCKER
As with most new databases these days, I decided to setup a cluster on my laptop using docker. Docker provides a nice way to keep things very simple and clean. My first step was to pull the FaunaDB container image from docker hub. $ docker pull fauna/faunadb:latest latest: Pulling from fauna/faunadb be8881be8156: Pull complete 60f08eedb1d2 INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju A COMPARISON OF SERVERLESS FUNCTION (FAAS) PROVIDERSFAA HOURS OFSERVICE
very easy to get started. less control, especially over scaling. in general, more expensive. vendor lock-in. your process can go down. Functions (FaaS) more control, less flexibility. a function that crashes won’t bring down your app. the orchestration of many functions results in more configuration. JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.OUR FEATURES
Available globally, close to your application. Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. You supply the data, the queries and the custom business logic. We take care of the rest. It justworks.
FREE SERVERLESS DATABASE Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. With an innovative query model that lets you encapsulate business logic into programmable functions executed close to your data, Fauna boostsapplication
PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly.JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation. INTRODUCING AUTOMATED LOG TOPOLOGY IN FAUNA 2.6 Introducing Automated Log Topology in Fauna 2.6. One of the most exciting features of the Fauna 2.6 release is the automated log topology. Prior to this release, setting up the log topology was a manual process where an enterprise operator had to decide on a log topology upfront, and then repeat that in the Fauna configuration fileon each node
GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKERDOCKER COMPOSE UP DETACHDOCKER CONNECT TO LOCAL DATABASEMYSQL CLUSTER DOCKERPOSTGRESQLCLUSTER DOCKER
As with most new databases these days, I decided to setup a cluster on my laptop using docker. Docker provides a nice way to keep things very simple and clean. My first step was to pull the FaunaDB container image from docker hub. $ docker pull fauna/faunadb:latest latest: Pulling from fauna/faunadb be8881be8156: Pull complete 60f08eedb1d2 INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju A COMPARISON OF SERVERLESS FUNCTION (FAAS) PROVIDERSFAA HOURS OFSERVICE
very easy to get started. less control, especially over scaling. in general, more expensive. vendor lock-in. your process can go down. Functions (FaaS) more control, less flexibility. a function that crashes won’t bring down your app. the orchestration of many functions results in more configuration. JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly. GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE Welcome back, fellow space developer! We will continue our FQL space journey in this five-part series of articles. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight OVERVIEW | FAUNA DOCUMENTATION Fauna is a flexible, developer-friendly, transactional database delivered to you as a secure, web-native API. BUILDING THE NEXT GENERATION SEARCH ENGINE WITH FAUNA AND Introduction. At MeetKai we’re building a next-gen Voice Assistant, powered by our in house next-gen search engine. A next-gen voice assistant has to be multilingual, capable of carrying out multiple turns of dialogue, and have a deep understanding of what a user is exactly asking for rather than just searching by keywords. GETTING STARTED WITH FAUNA: FAUNA QUERY LANGUAGE (FQL) In this post we dive into the use of FQL (Fauna Query Language), which is the main interface for all interactions with Fauna. FQL is a powerful yet approachable and flexible query language. As in my previous post, we'll use Fauna Cloud to illustrate our examples, but you can also apply examples to an instance of Fauna deployedon-premises.
FAUNA-SHELL REFERENCE fauna-shell. reference. fauna-shell is a command line tool that lets you execute Fauna queries interactively, to help you explore the capabilities of Fauna. This section explains how to install fauna-shell and provides a reference for everything that fauna-shell can do. See Configuration for details on configuring fauna-shell. SELECT | FAUNA DOCUMENTATION Description. The Select function extracts a single value from a document. It extracts the value specified by the path parameter out of the from parameter and returns the value. If the path does not exist, the optional default value is returned. @RELATION | FAUNA DOCUMENTATION Description. The @relation directive marks the annotated field as participating in a bi-directional relationship with the target type. The name argument defines the name of the relationship, and is useful if there is any ambiguity in relationship construction. For example, if the target type has two fields referring to the source type.JAVASCRIPT DRIVER
The following example is an HTML page that uses the JavaScript driver and plain JavaScript to establish a stream on a document in the Scores collection, with document ID 1. To make this example work: Replace YOUR_FAUNA_SECRET with the secret that you use toOUR FEATURES
Available globally, close to your application. Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. You supply the data, the queries and the custom business logic. We take care of the rest. It justworks.
FREE SERVERLESS DATABASE Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. With an innovative query model that lets you encapsulate business logic into programmable functions executed close to your data, Fauna boostsapplication
PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly.JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation. INTRODUCING AUTOMATED LOG TOPOLOGY IN FAUNA 2.6 Introducing Automated Log Topology in Fauna 2.6. One of the most exciting features of the Fauna 2.6 release is the automated log topology. Prior to this release, setting up the log topology was a manual process where an enterprise operator had to decide on a log topology upfront, and then repeat that in the Fauna configuration fileon each node
GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKERDOCKER COMPOSE UP DETACHDOCKER CONNECT TO LOCAL DATABASEMYSQL CLUSTER DOCKERPOSTGRESQLCLUSTER DOCKER
As with most new databases these days, I decided to setup a cluster on my laptop using docker. Docker provides a nice way to keep things very simple and clean. My first step was to pull the FaunaDB container image from docker hub. $ docker pull fauna/faunadb:latest latest: Pulling from fauna/faunadb be8881be8156: Pull complete 60f08eedb1d2 INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju A COMPARISON OF SERVERLESS FUNCTION (FAAS) PROVIDERSFAA HOURS OFSERVICE
very easy to get started. less control, especially over scaling. in general, more expensive. vendor lock-in. your process can go down. Functions (FaaS) more control, less flexibility. a function that crashes won’t bring down your app. the orchestration of many functions results in more configuration. JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.OUR FEATURES
Available globally, close to your application. Fauna is the only global and multi-cloud serverless database that offers predictable low-latency for your applications. You supply the data, the queries and the custom business logic. We take care of the rest. It justworks.
FREE SERVERLESS DATABASE Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. With an innovative query model that lets you encapsulate business logic into programmable functions executed close to your data, Fauna boostsapplication
PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly.JAMSTACK DATABASE
Fauna is a flexible, developer-friendly, transactional database available as a secure, cloud API with native GraphQL. Easy to use and easy to get started, Fauna is the "A" in Jamstack for managing data. Sign up for free Documentation. INTRODUCING AUTOMATED LOG TOPOLOGY IN FAUNA 2.6 Introducing Automated Log Topology in Fauna 2.6. One of the most exciting features of the Fauna 2.6 release is the automated log topology. Prior to this release, setting up the log topology was a manual process where an enterprise operator had to decide on a log topology upfront, and then repeat that in the Fauna configuration fileon each node
GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. SETTING UP A NEW LOCAL FAUNA CLUSTER USING DOCKERDOCKER COMPOSE UP DETACHDOCKER CONNECT TO LOCAL DATABASEMYSQL CLUSTER DOCKERPOSTGRESQLCLUSTER DOCKER
As with most new databases these days, I decided to setup a cluster on my laptop using docker. Docker provides a nice way to keep things very simple and clean. My first step was to pull the FaunaDB container image from docker hub. $ docker pull fauna/faunadb:latest latest: Pulling from fauna/faunadb be8881be8156: Pull complete 60f08eedb1d2 INTRODUCING FAUNA SHELL Back in April, our team got together with the goal of assessing the current status of Fauna to try to see which areas we wanted to improve next. This group was a mix of people who had been at Fauna since the beginning, and people like me who had ju A COMPARISON OF SERVERLESS FUNCTION (FAAS) PROVIDERSFAA HOURS OFSERVICE
very easy to get started. less control, especially over scaling. in general, more expensive. vendor lock-in. your process can go down. Functions (FaaS) more control, less flexibility. a function that crashes won’t bring down your app. the orchestration of many functions results in more configuration. JOIN | FAUNA DOCUMENTATION For query "width" errors, the underlying set or page involves more than 100K items. This can happen when using a set function, such as Difference, where more than 100K items need to be considered to produce the set that Join evaluates. To resolve this, use Paginate to limit the set or page size.PRICING AND PLANS
Free Plan. For getting started with and learning the Fauna system. Explore all features and start building with free monthly capacity (100k read ops, 50k write ops, 500k compute ops, 100Mb storage). Hard limits enforced. Get Started for Free. Annually (Save 10%) Monthly. GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE In part 1 of this five-part series we got our first look at FQL and some fundamental Fauna concepts. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight in Fauna. GETTING STARTED WITH FQL, FAUNA’S NATIVE QUERY LANGUAGE Welcome back, fellow space developer! We will continue our FQL space journey in this five-part series of articles. Part 1: a look at FQL and fundamental Fauna concepts. Part 2: a deep dive into indexes with Fauna. Part 3: a look into the principles of modeling data with Fauna. Part 4: a look at how to create custom functions that run straight OVERVIEW | FAUNA DOCUMENTATION Fauna is a flexible, developer-friendly, transactional database delivered to you as a secure, web-native API. BUILDING THE NEXT GENERATION SEARCH ENGINE WITH FAUNA AND Introduction. At MeetKai we’re building a next-gen Voice Assistant, powered by our in house next-gen search engine. A next-gen voice assistant has to be multilingual, capable of carrying out multiple turns of dialogue, and have a deep understanding of what a user is exactly asking for rather than just searching by keywords. GETTING STARTED WITH FAUNA: FAUNA QUERY LANGUAGE (FQL) In this post we dive into the use of FQL (Fauna Query Language), which is the main interface for all interactions with Fauna. FQL is a powerful yet approachable and flexible query language. As in my previous post, we'll use Fauna Cloud to illustrate our examples, but you can also apply examples to an instance of Fauna deployedon-premises.
FAUNA-SHELL REFERENCE fauna-shell. reference. fauna-shell is a command line tool that lets you execute Fauna queries interactively, to help you explore the capabilities of Fauna. This section explains how to install fauna-shell and provides a reference for everything that fauna-shell can do. See Configuration for details on configuring fauna-shell. SELECT | FAUNA DOCUMENTATION Description. The Select function extracts a single value from a document. It extracts the value specified by the path parameter out of the from parameter and returns the value. If the path does not exist, the optional default value is returned. @RELATION | FAUNA DOCUMENTATION Description. The @relation directive marks the annotated field as participating in a bi-directional relationship with the target type. The name argument defines the name of the relationship, and is useful if there is any ambiguity in relationship construction. For example, if the target type has two fields referring to the source type.JAVASCRIPT DRIVER
The following example is an HTML page that uses the JavaScript driver and plain JavaScript to establish a stream on a document in the Scores collection, with document ID 1. To make this example work: Replace YOUR_FAUNA_SECRET with the secret that you use to This website uses cookies to enhance the user experience and to better understand how our site is used. By continuing to use this site or clicking on Accept, you are consenting to our use of cookies and ourprivacy policy.
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THE DATABASE BUILT FOR SERVERLESS, FEATURING NATIVE GRAPHQL Add a full-featured global datastore to your apps in minutes. Access effortlessly from the browser and from mobile. Never again worry about data correctness, capacity, redundancy, latency, and availability. Sign up for free Readdocs
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FaunaDB is a global SERVERLESS database that gives you ubiquitous, low latency access to app data, without sacrificing data correctness and scale. It eliminates layers of app code for manually handling data anomalies, security, and scale, creating a friendlier dev experience for you and better app experience for your users.Build it fast
APIs like GraphQL that make you productive, data models like relational, document and graph that you need, deliveredoperations-free.
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Built consistent, secure, and reliable from get go, FaunaDB guarantees data correctness so that your app doesn’t have to. Finally, freedom from data management code!Launch globally
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DYNAMIC DATA MADE SIMPLE Relational, document and graph access to the same set of data using modern APIs such as GraphQL that are easy to work with. No cold starts, and no additional middleware necessary. CORRECT INSTANTLY, NOT EVENTUALLY 100% ACID, with globally consistent reads and writes without compromising latency and scale. Trust your app data. Eliminateunnecessary code.
LOW LATENCY FROM ANY LOCATION Data automatically replicated across global regions instantly, correctly. Requests are routed automatically to the region closest to the user for low-latency reads and writes ensuring snappiest possibleapp experience.
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Start risk-free with one of the most generous free tiers available. Throttling-free transparent scaling, so your app never encounters unplanned capacity hiccups or outages.SECURE BYÂ DEFAULT
Eliminate complexity with built-in authorization that is easy to use, yet powerful. Lockdown data with a rich, attribute-based security model. Never leave your data unprotected. GOODBYE, OPERATIONS Sign up and go. Never again deal with database provisioning, clustering, backups, and maintenance. Spans multiple clouds so you never see downtime. It just works. JOIN THE SERVERLESS ECOSYSTEM WHAT'S THE BUZZ ABOUT? Our customers love FaunaDB because it is trustworthy, reliable, and accurate. They also get much simpler application development and database management—all with a lower total cost of ownership.__
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> FaunaDB is unique among databases. It meets our transactional, > performance, and scalability requirements without compromising > developer productivity.>
> Prakash Janakiraman, Co-Founder & Chief Architect, Nextdoor__
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> At Netlify, we're seeing a boom in the adoption of serverless > architectures and FaunaDB is fast emerging as the de-facto datastore > for those deploying stateful apps on the Netlify platform.>
> Matt Biilmann, CEO, Netlify__
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> FaunaDB delivers the zero config experience that our community wants > from a datastore. If you’re building a rich application that needs > database, FaunaDB is our favorite choice for the Vercel> Now platform.
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> Guillermo Rauch, CEO & Founder, Vercel__
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> FaunaDB’s expressive query language and ACID transactions > minimized our time to market, while FaunaDB’s data temporality > simplifies our development.>
> Eigil Sagafos, CTO & Co-founder, ShiftX__
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> At Apollo, we're excited to see FaunaDB offer serverless GraphQL. > GraphQL makes data access dramatically simpler for developers > building modern web applications.>
> Matt DeBergalis, VP Product & Co-Founder, Apollo__
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> Our testing suggests that FaunaDB offers serializability, and, > optionally, strict serializability, in only one cross-datacenter > round-trip ... Calvin-based systems like FaunaDB could play an > important future role in the distributed database landscape.>
> Kyle Kingsbury, Principal, Jepsen.io*
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FEATURED TOPICS OF THE DAY Exploring GraphQL with FaunaDB Getting started with FaunaDB Securing your data with built-in attribute-based accesscontrol (ABAC)
How ShiftX uses GraphQL with FaunaDB for their serverless architecture Nextdoor trusts FaunaDB to scale when Postgres couldn’t Fauna’s Community Slack: discuss FaunaDB with the Fauna team and users from around the world GET STARTED FOR FREE Discover the impossible database. Unshackle your data. Build without fear. Change the world. Sign up for free Readdocs
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