Datomic is a proprietary database management system. It is an operational DBMS, in other words, it allows updates in real time. Instead of assigning and overwriting values into named attributes, Datomic keeps track of all immutable facts over time, which sets Datomic apart because previous states can be accessed easily. Datomic is also a distributional DBMS, which provides horizontal read scalability. Therefore, Datomic is a good fit for storing a history of valuable records that requires operational flexibility and read scalability.[04][05]
- Website
- https://www.datomic.com[01]
- Tech Docs
- https://docs.datomic.com[02]
- Developer
- Country of Origin
- US
- Start Year
- 2012 [06]
- Project Type
- Commercial
- Compatible With
- Cassandra, CouchDB, DynamoDB, Infinispan, MySQL, Oracle NoSQL, Oracle RDBMS, PostgreSQL, Riak
- Operating Systems
- All OS with Java VM, Hosted
- License
- Proprietary
In addition, Datomic Cloud is built for AWS integration and is a quicker and easier way to access Datomic on AWS.
Datomic is a proprietary database management system. It is an operational DBMS, in other words, it allows updates in real time. Instead of assigning and overwriting values into named attributes, Datomic keeps track of all immutable facts over time, which sets Datomic apart because previous states can be accessed easily. Datomic is also a distributional DBMS, which provides horizontal read scalability. Therefore, Datomic is a good fit for storing a history of valuable records that requires operational flexibility and read scalability.
In addition, Datomic Cloud is built for AWS integration and is a quicker and easier way to access Datomic on AWS.[04][05]
History[06]
Early March 2012, the Relevance team (later joined with Metadata to form Cognitect) around Rich Hickey released Datomic, which they have started to work on since 2010.
Compression[07]
Index trees contain "segments," arrays of datoms that are serialized and then compressed with zip. Compression allows more efficient caching and storage.
Data Model[08][07]
Datomic stores immutable facts as datoms over time. A datom follows the form of (entity, attribute, value, time).
Indexes[07][09]
Datomic indexes are covering indexes. In other words, instead of storing reference to data in the index, Datomic directly reads data from index.
Isolation Levels[10]
There is only one thread responsible for writing transactions, so transactions are always serializable.
Query Interface[11]
Datomic's query interface is an extension from Datalog. The main difference is that Datalog systems usually have a global fact database and a set of rules, but Datomic Datalog could take multiple databases and sets of rules.
Storage Model[12]
Datomic treats storage as a service, which means that Datomic only provides the ways to access underlying storage, but doesn't provide the actual storage.
System Architecture[12]
Each "peer" in Datomic that communicates with storage services and transactors has its own cache.
Eva
Citations
13 sources- Datomic - Overview datomic.com
- Introduction | Datomic datomic.com
- Datomic - Wikipedia wikipedia.org
- https://docs.datomic.com/on-prem/getting-started/brief-overview.html datomic.com
- Datomic - Overview datomic.com
- Rich Hickey's Datomic embraces Cloud, intelligent Applications and Consistency - InfoQ infoq.com
- Unofficial guide to Datomic internals @ tonsky.me tonsky.me
- https://docs.datomic.com/on-prem/architecture.html datomic.com
- Datomic Data Model | Datomic datomic.com
- https://docs.datomic.com/on-prem/acid.html datomic.com
- https://docs.datomic.com/on-prem/query.html datomic.com
- Datomic Cloud Architecture | Datomic datomic.com
- https://docs.datomic.com/on-prem/database-functions.html#transaction-functions datomic.com