DBMS > Drizzle vs. PostgreSQL vs. Stardog
System Properties Comparison Drizzle vs. PostgreSQL vs. Stardog
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|Editorial information provided by DB-Engines|
|Name||Drizzle Xexclude from comparison||PostgreSQL Xexclude from comparison||Stardog 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||MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization|
|Primary database model||Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Graph DBMS|
|Secondary database models||Document store|
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|Developer||Drizzle project, originally started by Brian Aker||PostgreSQL Global Development Group www.postgresql.org/developer||Stardog-Union|
|Initial release||2008||1989 1989: Postgres, 1996: PostgreSQL||2010|
|Current release||7.2.4, September 2012||16.1, November 2023||7.3.0, May 2020|
|License Commercial or Open Source||Open Source GNU GPL||Open Source BSD||commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||FreeBSD|
|Data scheme||yes||yes||schema-free and OWL/RDFS-schema support|
|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.||yes specific XML-type available, but no XML query functionality.||no Import/export of XML data possible|
|Secondary indexes||yes||yes||yes supports real-time indexing in full-text and geospatial|
|SQL Support of SQL||yes with proprietary extensions||yes standard with numerous extensions||Yes, compatible with all major SQL variants through dedicated BI/SQL Server|
|APIs and other access methods||JDBC||ADO.NET|
native C library
streaming API for large objects
|GraphQL query language|
Jena RDF API
Sesame REST HTTP Protocol
|Supported programming languages||C|
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||user defined functions and aggregates, HTTP Server extensions in Java|
|Triggers||no hooks for callbacks inside the server can be used.||yes||yes via event handlers|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|Source-replica replication other methods possible by using 3rd party extensions||Multi-source replication in HA-Cluster|
|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 in HA-Cluster|
|Foreign keys Referential integrity||yes||yes||yes relationships in graphs|
|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||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||Pluggable authentication mechanisms e.g. LDAP, HTTP||fine grained access rights according to SQL-standard||Access rights for users and roles|
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