DATOMIC - OVERVIEWPRODUCTSPRICINGRESOURCESCOMPANYDATOMIC CLOUDDATOMIC
ON-PREM
Analytics. Today’s releases of Datomic Cloud and Datomic On-prem preview a major new feature: analytics support. With analytics support, your data scientists, analysts, and operations people can directly access Datomic using the languages and tools they already know (e.g. SQL, Python, R, Tableau, Metabase, Superset and more), without you
LOCAL DEV AND CI WITH DEV-LOCAL Datomic dev-local is part of Cognitect dev-tools. Get the latest version of dev-tools and unzip it.. dev-local can be acquired via maven or tools.deps by following the instructions e-mailed to you when you requested the latest version.. To install the downloaded jar locally: install dev-local with the install script from the zip directory:
EXECUTING QUERIES
datomic.client.api/q is the primary entry point for Datomic query.. q Performs the query described by query and args, and returns a collection of tuples.:query - The query to perform: a map, list, or string.:find - specifies the tuples to be returned.:with - is optional, and names vars to be kept in the aggrgation set but not returned:in - is optional. . Omitting ':in ' is the same as CLIENT API | DATOMIC Client API. The Client API is the way your code accesses Datomic. The API is available in both synchronous and asynchronous forms. You create a Datomic client object and use it to list, create and delete databases, and to obtain a connection to a specific database . Given a connection, you can transact new data or obtain the db as a value, from
TRANSACTOR | DATOMIC The transactor properties file needs to include license-key from your my.datomic registered account. For information on launching a second transactor for high availability, see configuring high availability.. If you set a pid-file in the transactor properties file, Datomic will write the current process ID to that file on startup.. The transactor startup script accepts JVM arguments, but DATOMIC PULL
Datomic Pull. Pull is a declarative way to make hierarchical (and possibly nested) selections of information about entities. Pull applies a pattern to a collection of entities, building a map for each entity. Pull is available. as a standalone Java API. as a standalone Clojure API. as a find specification in query. TRANSACTION FUNCTIONS Transaction functions must be pure functions, i.e. free of side effects. A transaction function must expect to be passed a database value as its first argument. This is to allow transaction function to issue queries, etc. A transaction function must return transaction data, i.e. data in the same form as expected under the :tx-data key in transact.
PULL | DATOMIC
Pull. Pull is a declarative way to make hierarchical (and possibly nested) selections of information about entities. Pull applies a pattern to a collection of entities, building a map for each entity. Pull is available. via the standalone pull API. as a find specification in query. TRANSACTIONS
Transactions. All writes to Datomic databases are protected by ACID transactions. Transactions are submitted to the system's Transactor component, which processes them serially and reflects changes out to all connected peers. This document describes transactions in detail. CHANGING SCHEMA
Schema Alteration. Because Datomic maintains a single set of physical indexes, and supports query across time, a db value utilizes the single schema associated with its basis, i.e. before any call to asOf/since/history, for all views of that db (including asOf/since/history). Thus traveling back in time does not take the working schema back in DATOMIC - OVERVIEWPRODUCTSPRICINGRESOURCESCOMPANYDATOMIC CLOUDDATOMIC ON-PREM
Analytics. Today’s releases of Datomic Cloud and Datomic On-prem preview a major new feature: analytics support. With analytics support, your data scientists, analysts, and operations people can directly access Datomic using the languages and tools they already know (e.g. SQL, Python, R, Tableau, Metabase, Superset and more), without you
LOCAL DEV AND CI WITH DEV-LOCAL Datomic dev-local is part of Cognitect dev-tools. Get the latest version of dev-tools and unzip it.. dev-local can be acquired via maven or tools.deps by following the instructions e-mailed to you when you requested the latest version.. To install the downloaded jar locally: install dev-local with the install script from the zip directory:
EXECUTING QUERIES
datomic.client.api/q is the primary entry point for Datomic query.. q Performs the query described by query and args, and returns a collection of tuples.:query - The query to perform: a map, list, or string.:find - specifies the tuples to be returned.:with - is optional, and names vars to be kept in the aggrgation set but not returned:in - is optional. . Omitting ':in ' is the same as CLIENT API | DATOMIC Client API. The Client API is the way your code accesses Datomic. The API is available in both synchronous and asynchronous forms. You create a Datomic client object and use it to list, create and delete databases, and to obtain a connection to a specific database . Given a connection, you can transact new data or obtain the db as a value, from
TRANSACTOR | DATOMIC The transactor properties file needs to include license-key from your my.datomic registered account. For information on launching a second transactor for high availability, see configuring high availability.. If you set a pid-file in the transactor properties file, Datomic will write the current process ID to that file on startup.. The transactor startup script accepts JVM arguments, but DATOMIC PULL
Datomic Pull. Pull is a declarative way to make hierarchical (and possibly nested) selections of information about entities. Pull applies a pattern to a collection of entities, building a map for each entity. Pull is available. as a standalone Java API. as a standalone Clojure API. as a find specification in query. TRANSACTION FUNCTIONS Transaction functions must be pure functions, i.e. free of side effects. A transaction function must expect to be passed a database value as its first argument. This is to allow transaction function to issue queries, etc. A transaction function must return transaction data, i.e. data in the same form as expected under the :tx-data key in transact.
PULL | DATOMIC
Pull. Pull is a declarative way to make hierarchical (and possibly nested) selections of information about entities. Pull applies a pattern to a collection of entities, building a map for each entity. Pull is available. via the standalone pull API. as a find specification in query. TRANSACTIONS
Transactions. All writes to Datomic databases are protected by ACID transactions. Transactions are submitted to the system's Transactor component, which processes them serially and reflects changes out to all connected peers. This document describes transactions in detail. CHANGING SCHEMA
Schema Alteration. Because Datomic maintains a single set of physical indexes, and supports query across time, a db value utilizes the single schema associated with its basis, i.e. before any call to asOf/since/history, for all views of that db (including asOf/since/history). Thus traveling back in time does not take the working schema back in DATOMIC - GET DATOMIC This is the ideal way to get started with Datomic for initial development. For no cost (registration required) you get all of the features of Datomic Pro, including unlimited peers and clients, high availability, memcached integration, and Datomic Console. DATOMIC - ON-PREM
Datomic provides rich schema and query capabilities on top of modern scalable storage engines. If you are ready for the cloud, Datomic was designed and built with AWS and DynamoDB in mind. If you need to take advantage of existing investments in infrastructure and storage, deploy on top of
DATOMIC - DATOMIC CLOUD DOCUMENTATION The Datomic Documentation explains key Datomic concepts, including and the data model and query language. It also describes how to set up Datomic for the first time and provides instructions for using Datomic features.
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EXECUTING QUERIES
datomic.client.api/q is the primary entry point for Datomic query.. q Performs the query described by query and args, and returns a collection of tuples.:query - The query to perform: a map, list, or string.:find - specifies the tuples to be returned.:with - is optional, and names vars to be kept in the aggrgation set but not returned:in - is optional. . Omitting ':in ' is the same as READ | DATOMIC
If you know an entity id, you can use the pull API to return information about that entity and related entities. Better still, if the entity has a unique attribute, you do not even need to know its entity id.A lookup ref is a two element list of unique attribute + value that uniquely identifies an entity, e.g. . noslide DOCUMENT INDEX
Defining and Transacting a Datomic Schema. Transact Data. Transacting Data into Datomic. Query the Data. Querying for Data from Datomic. See Historic Data. See Historic Values of Datomic Data. Tutorial. A detailed walk-through exploring Datomic, with code. TRANSACTIONS
The system defines a special attribute, :db/ident, that can be used to assign an keyword identifier to a given entity.If an entity has a :db/ident attribute, its value can be used in place of the entity's id. This mechanism is what allows you to refer to attributes, partitions, types, etc., by specifying keywords. DATOMIC KNOWLEDGEBASE Forum for Datomic Q&A. Welcome to the Datomic Knowledgebase, where you can make features requests, ask questions and receive answers from other members of the community. SETTING UP STORAGE SERVICES Setting Up Storage Services. This document walks through the process of provisioning a Storage Service and running a transactor. The steps are: select and provision a Storage Service. install license key. start a Transactor with appropriate properties file. configure storage client dependencies for your peer. connect Peer Library to Transactor DATOMIC - OVERVIEWPRODUCTSPRICINGRESOURCESCOMPANYDATOMIC CLOUDDATOMIC ON-PREM
Analytics. Today’s releases of Datomic Cloud and Datomic On-prem preview a major new feature: analytics support. With analytics support, your data scientists, analysts, and operations people can directly access Datomic using the languages and tools they already know (e.g. SQL, Python, R, Tableau, Metabase, Superset and more), without you
READ | DATOMIC
If you know an entity id, you can use the pull API to return information about that entity and related entities. Better still, if the entity has a unique attribute, you do not even need to know its entity id.A lookup ref is a two element list of unique attribute + value that uniquely identifies an entity, e.g. . noslide LOCAL DEV AND CI WITH DEV-LOCAL Datomic dev-local is part of Cognitect dev-tools. Get the latest version of dev-tools and unzip it.. dev-local can be acquired via maven or tools.deps by following the instructions e-mailed to you when you requested the latest version.. To install the downloaded jar locally: install dev-local with the install script from the zip directory:
CLIENT API | DATOMIC Client API. The Client API is the way your code accesses Datomic. The API is available in both synchronous and asynchronous forms. You create a Datomic client object and use it to list, create and delete databases, and to obtain a connection to a specific database . Given a connection, you can transact new data or obtain the db as a value, from
CONNECT TO A DATABASE At this point, you have a running $1 you can use to execute commands against Datomic.. To interact with Datomic, you must first create a connection. When you connect, you must specify several important parameters: :db-name is the database your Client code will be interacting with.:endpoint is the host and port where Datomic is running and listening. TRANSACTOR | DATOMIC The transactor properties file needs to include license-key from your my.datomic registered account. For information on launching a second transactor for high availability, see configuring high availability.. If you set a pid-file in the transactor properties file, Datomic will write the current process ID to that file on startup.. The transactor startup script accepts JVM arguments, but PULL | DATOMIC
Pull. Pull is a declarative way to make hierarchical (and possibly nested) selections of information about entities. Pull applies a pattern to a collection of entities, building a map for each entity. Pull is available. via the standalone pull API. as a find specification in query. TRANSACTION FUNCTIONS Transaction functions must be pure functions, i.e. free of side effects. A transaction function must expect to be passed a database value as its first argument. This is to allow transaction function to issue queries, etc. A transaction function must return transaction data, i.e. data in the same form as expected under the :tx-data key in transact.
PROCESSING TRANSACTIONS Reified Transactions. When Datomic processes a transaction, it creates a transaction entity to represent it. By default, this entity has two attributes, :db/txInstant, whose value is the instant that the transaction was processed, and :db/txUUID, a Datomic-assigned transaction identifier. CHANGING SCHEMA
Schema Alteration. Because Datomic maintains a single set of physical indexes, and supports query across time, a db value utilizes the single schema associated with its basis, i.e. before any call to asOf/since/history, for all views of that db (including asOf/since/history). Thus traveling back in time does not take the working schema back in DATOMIC - OVERVIEWPRODUCTSPRICINGRESOURCESCOMPANYDATOMIC CLOUDDATOMIC ON-PREM
Analytics. Today’s releases of Datomic Cloud and Datomic On-prem preview a major new feature: analytics support. With analytics support, your data scientists, analysts, and operations people can directly access Datomic using the languages and tools they already know (e.g. SQL, Python, R, Tableau, Metabase, Superset and more), without you
READ | DATOMIC
If you know an entity id, you can use the pull API to return information about that entity and related entities. Better still, if the entity has a unique attribute, you do not even need to know its entity id.A lookup ref is a two element list of unique attribute + value that uniquely identifies an entity, e.g. . noslide LOCAL DEV AND CI WITH DEV-LOCAL Datomic dev-local is part of Cognitect dev-tools. Get the latest version of dev-tools and unzip it.. dev-local can be acquired via maven or tools.deps by following the instructions e-mailed to you when you requested the latest version.. To install the downloaded jar locally: install dev-local with the install script from the zip directory:
CLIENT API | DATOMIC Client API. The Client API is the way your code accesses Datomic. The API is available in both synchronous and asynchronous forms. You create a Datomic client object and use it to list, create and delete databases, and to obtain a connection to a specific database . Given a connection, you can transact new data or obtain the db as a value, from
CONNECT TO A DATABASE At this point, you have a running $1 you can use to execute commands against Datomic.. To interact with Datomic, you must first create a connection. When you connect, you must specify several important parameters: :db-name is the database your Client code will be interacting with.:endpoint is the host and port where Datomic is running and listening. TRANSACTOR | DATOMIC The transactor properties file needs to include license-key from your my.datomic registered account. For information on launching a second transactor for high availability, see configuring high availability.. If you set a pid-file in the transactor properties file, Datomic will write the current process ID to that file on startup.. The transactor startup script accepts JVM arguments, but PULL | DATOMIC
Pull. Pull is a declarative way to make hierarchical (and possibly nested) selections of information about entities. Pull applies a pattern to a collection of entities, building a map for each entity. Pull is available. via the standalone pull API. as a find specification in query. TRANSACTION FUNCTIONS Transaction functions must be pure functions, i.e. free of side effects. A transaction function must expect to be passed a database value as its first argument. This is to allow transaction function to issue queries, etc. A transaction function must return transaction data, i.e. data in the same form as expected under the :tx-data key in transact.
PROCESSING TRANSACTIONS Reified Transactions. When Datomic processes a transaction, it creates a transaction entity to represent it. By default, this entity has two attributes, :db/txInstant, whose value is the instant that the transaction was processed, and :db/txUUID, a Datomic-assigned transaction identifier. CHANGING SCHEMA
Schema Alteration. Because Datomic maintains a single set of physical indexes, and supports query across time, a db value utilizes the single schema associated with its basis, i.e. before any call to asOf/since/history, for all views of that db (including asOf/since/history). Thus traveling back in time does not take the working schema back in DATOMIC - OUR PRODUCTS Datomic On-Prem offers a storage and infrastructure independent solution. Build applications your way, leveraging the architectural flexibiltiy Datomic On-Prem Peers and/or Clients. If you need to take advantage of existing investments in infrastructure and storage, deploy on top of Cassandra, Oracle and more. Learn More. DATOMIC - DATOMIC CLOUD DOCUMENTATION The Datomic Documentation explains key Datomic concepts, including and the data model and query language. It also describes how to set up Datomic for the first time and provides instructions for using Datomic features.
CONNECT TO A DATABASE At this point, you have a running $1 you can use to execute commands against Datomic.. To interact with Datomic, you must first create a connection. When you connect, you must specify several important parameters: :db-name is the database your Client code will be interacting with.:endpoint is the host and port where Datomic is running and listening. DOCUMENT INDEX
Defining and Transacting a Datomic Schema. Transact Data. Transacting Data into Datomic. Query the Data. Querying for Data from Datomic. See Historic Data. See Historic Values of Datomic Data. Tutorial. A detailed walk-through exploring Datomic, with code. TRANSACT DATA
So you will be unsurprised to learn that creating domain data is a very similar operation. Once again, you will take advantage of the "transact" method of the Client library, which takes an active connection and a map of data. First, define your data, again storing it in a var first: This is an example of the power of working directly with data
SCHEMA | DATOMIC
Schema. The facts that a Datomic database stores are represented by datoms. Each datom is an addition or retraction of a relation between an entity, an attribute, a value, and a transaction. The set of possible attributes a datom can specify is defined by a database's schema. Each Datomic database has a schema that describes the set of TRANSACT A SCHEMA
Transact a Schema. Previously: you learned how to connect to a database. This tutorial expects that you have a running REPL where you have already connected to the database "hello". SEARCH RESULTS
Datomic Cloud Documentation. Home › ; Support; Forum; Knowledgebase; What is Datomic? Data Model; Architecture; Supported Operations PROCESSING TRANSACTIONS Reified Transactions. When Datomic processes a transaction, it creates a transaction entity to represent it. By default, this entity has two attributes, :db/txInstant, whose value is the instant that the transaction was processed, and :db/txUUID, a Datomic-assigned transaction identifier. LOGIN THROUGH AN EXTERNAL PROVIDER Choose an external provider from the list below to login without creating an account on this site. Login using GitHub Products
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DATOMIC CLOUD
A TRANSACTIONAL DATABASE WITH A FLEXIBLE DATA MODEL, ELASTIC SCALING, AND RICH QUERIES.
DATOMIC CLOUD NOW AVAILABLE ON AWS MARKETPLACE View Datomic on AWS Marketplace ≫ ALL AWS, LESS EFFORT Get all the benefits you expect from AWS: usage-based pricing, elastic scaling, and simplified operations. Use AWS best practices without having to master the many different services involved. Learn More »
FLEXIBLE AND HIERARCHICAL Model your data once, with agility. Handle row-oriented, column-oriented, graph, and hierarchical data in a single system. Add attributes dynamically at any time. Learn More » RUN YOUR APP ON DATOMIC Focus on your application logic. Write ordinary Clojure functions, and let Datomic Ions handle the deployment and execution details. Learn More »
INTEGRATED ANALYTICS Your data scientists, analysts, and operations people can directly access Datomic using the languages and tools they already know (e.g. SQL, Python, R, Tableau, Metabase, Superset and more), without any ETL. Learn More »
INDELIBLE AND CHRONOLOGICAL Understand how and when changes were made. Datomic stores all history, and lets you query against any point in time. Learn More » TRANSACTIONAL
Focus on your application without worrying about the integrity of your data. All data enters the system via consistent, atomic, isolated, and durable transactions. Learn More » NEWS
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DATOMIC DEV-LOCAL
With Datomic dev-local you can develop and test applications with minimal connectivity and setup. Get the dev-local library, add it to your classpath, and you have access to the full Client API (both
synchronous
and
asynchronous
flavors). This allows you to: *
Develop and test Datomic Cloud applications without connecting to a server and without changing your application code .
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Create small, single-process Datomic
applications and libraries. ANALYTICS
Today’s releases of Datomic Cloud and
Datomic On-prem
preview a major new feature: analytics support With analytics support, your data scientists, analysts, and operations people can directly access Datomic using the languages and tools they already know (e.g. SQL, Python, R, Tableau, Metabase, Superset and more), without you having to do any ETL. TUPLES AND DATABASE PREDICATES Today’s releases of Datomic Cloud and Datomic On-prem
include two major new features: tuples and database predicates. RETURN MAPS
Most Datomic queries return tuples, but sometimes you just want maps. Today’s release of
the Datomic Cloud client library adds return maps to Datomic datalog. For example, the following query uses the new :keys clause to request maps with :artist and :release keys: DATOMIC CLOUD
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