DBMS > Datomic vs. Drizzle vs. openGauss
System Properties Comparison Datomic vs. Drizzle vs. openGauss
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|Editorial information provided by DB-Engines|
|Name||Datomic Xexclude from comparison||Drizzle Xexclude from comparison||openGauss Xexclude from comparison|
|Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.|
|Description||Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability||MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.||An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Cognitect||Drizzle project, originally started by Brian Aker||Huawei and openGauss community|
|Current release||1.0.6362, January 2022||7.2.4, September 2012||3.0, March 2022|
|License Commercial or Open Source||commercial limited edition free||Open Source GNU GPL||Open Source|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Implementation language||Java, Clojure||C++||C, C++, Java|
|Server operating systems||All OS with a Java VM||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||yes|
|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||no|
|SQL Support of SQL||no||yes with proprietary extensions||ANSI SQL 2011|
|APIs and other access methods||RESTful HTTP API||JDBC||JDBC|
|Supported programming languages||Clojure|
|Server-side scripts Stored procedures||yes Transaction Functions||no||yes|
|Triggers||By using transaction functions||no hooks for callbacks inside the server can be used.||yes|
|Partitioning methods Methods for storing different data on different nodes||none But extensive use of caching in the application peers||Sharding||horizontal partitioning (by range, list and hash)|
|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||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||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||no|
|User concepts Access control||no||Pluggable authentication mechanisms e.g. LDAP, HTTP||Access rights for users, groups and roles according to SQL-standard|
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