DBMS > HyperSQL vs. PostgreSQL vs. UniData,UniVerse
System Properties Comparison HyperSQL vs. PostgreSQL vs. UniData,UniVerse
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|Editorial information provided by DB-Engines|
|Name||HyperSQL also known as HSQLDB Xexclude from comparison||PostgreSQL Xexclude from comparison||UniData,UniVerse Xexclude from comparison|
|Description||Multithreaded, transactional RDBMS written in Java also known as HSQLDB||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||MultiValue database and application server with SQL mapping layer and meta database capabilities|
|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.||Multivalue DBMS|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Rocket Software|
|Initial release||2001||1989 1989: Postgres, 1996: PostgreSQL||1985|
|Current release||2.7.0, July 2022||15.1, November 2022|
|License Commercial or Open Source||Open Source based on BSD license||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||All OS with a Java VM Embedded (into Java applications) and Client-Server operating modes||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 specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||yes||yes standard with numerous extensions||yes|
|APIs and other access methods||HTTP API JDBC via HTTP|
native C library
streaming API for large objects
|Java API JPA|
RESTful HTTP API
|Supported programming languages||All languages supporting JDBC/ODBC|
Basic U2 Basic
|Server-side scripts Stored procedures||Java, SQL||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes|
|Triggers||yes||yes||yes U2 Basic|
|Partitioning methods Methods for storing different data on different nodes||none||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||none||Source-replica replication other methods possible by using 3rd party extensions||Source-replica 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||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID configurable|
|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.||yes||no|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||Access rights according to SQL-standard and operating system based|
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|Related products and services|
|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
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|HyperSQL also known as HSQLDB||PostgreSQL||UniData,UniVerse|
|DB-Engines blog posts|
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|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
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