DBMS > Datomic vs. MySQL vs. UniData,UniVerse
System Properties Comparison Datomic vs. MySQL vs. UniData,UniVerse
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|Editorial information provided by DB-Engines|
|Name||Datomic Xexclude from comparison||MySQL Xexclude from comparison||UniData,UniVerse Xexclude from comparison|
|Description||Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability||Widely used open source RDBMS||MultiValue database and application server with SQL mapping layer and meta database capabilities|
|Primary database model||Relational DBMS||Relational DBMS Key/Value like access via memcached API||Multivalue DBMS|
|Secondary database models||Document store|
|Developer||Cognitect||Oracle since 2010, originally MySQL AB, then Sun||Rocket Software|
|Current release||1.0.6735, June 2023||8.1.0, July 2023|
|License Commercial or Open Source||commercial limited edition free||Open Source GPL version 2. Commercial licenses with extended functionallity are available||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
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|PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.|
|Implementation language||Java, Clojure||C and C++||C|
|Server operating systems||All OS with a Java VM||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||optional|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes|
|SQL Support of SQL||no||yes with proprietary extensions||yes|
|APIs and other access methods||RESTful HTTP API||ADO.NET|
Proprietary native API
|Java API JPA|
RESTful HTTP API
|Supported programming languages||Clojure|
Basic U2 Basic
|Server-side scripts Stored procedures||yes Transaction Functions||yes proprietary syntax||yes|
|Triggers||By using transaction functions||yes||yes U2 Basic|
|Partitioning methods Methods for storing different data on different nodes||none But extensive use of caching in the application peers||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||none|
|Replication methods Methods for redundantly storing data on multiple nodes||none But extensive use of caching in the application peers||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID not for MyISAM storage engine||ACID configurable|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine||yes|
|Durability Support for making data persistent||yes using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes recommended only for testing and development||yes|
|User concepts Access control||no||Users with fine-grained authorization concept no user groups or roles||Access rights according to SQL-standard and operating system based|
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|3rd parties||PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime. |
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