DBMS > AllegroGraph vs. Datomic vs. Drizzle vs. openGauss
System Properties Comparison AllegroGraph vs. Datomic vs. Drizzle vs. openGauss
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|Editorial information provided by DB-Engines|
|Name||AllegroGraph Xexclude from comparison||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||High performance, persistent RDF store with additional support for Graph DBMS||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||Document store with version 6.5|
|Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Spatial DBMS||Document store|
|Developer||Franz Inc.||Cognitect||Drizzle project, originally started by Brian Aker||Huawei and openGauss community|
|Current release||7.2.0, October 2021||1.0.6362, January 2022||7.2.4, September 2012||3.0, March 2022|
|License Commercial or Open Source||commercial Limited community edition free||commercial limited edition free||Open Source GNU GPL||Open Source|
|Cloud-based only Only available as a cloud service||no||no||no||no|
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|Implementation language||Java, Clojure||C++||C, C++, Java|
|Server operating systems||Linux|
|All OS with a Java VM||FreeBSD|
|Data scheme||yes RDF schemas||yes||yes||yes|
|Typing predefined data types such as float or date||yes||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 bulk load of XML files possible||no||no|
|SQL Support of SQL||SPARQL is used as query language||no||yes with proprietary extensions||ANSI SQL 2011|
|APIs and other access methods||RESTful HTTP API|
|RESTful HTTP API||JDBC||JDBC|
|Supported programming languages||C#|
|Triggers||yes||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||with Federation||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||Multi-source replication|
|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||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on configuration||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||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.||no||yes recommended only for testing and development||no|
|User concepts Access control||Users with fine-grained authorization concept, user roles and pluggable authentication||no||Pluggable authentication mechanisms e.g. LDAP, HTTP||Access rights for users, groups and roles according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...|
|Competitive advantages||AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...|
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