DBMS > PostgreSQL vs. Teradata Aster vs. Virtuoso
System Properties Comparison PostgreSQL vs. Teradata Aster vs. Virtuoso
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||Teradata Aster Xexclude from comparison||Virtuoso Xexclude from comparison|
|Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Platform for big data analytics on multistructured data sources and types||Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs|
|Primary database model||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS||Graph DBMS|
Native XML DBMS
|Secondary database models||Document store||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Teradata||OpenLink Software|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2005||1998|
|Current release||12.0, October 2019||8.2, October 2018|
|License Commercial or Open Source||Open Source BSD||commercial||Open Source GPLv2, extended commercial license available|
|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||FreeBSD|
|Data scheme||yes||Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store||yes|
|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.||yes in Aster File Store||yes|
|SQL Support of SQL||yes standard with numerous extensions||yes||yes|
|APIs and other access methods||native C library|
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||R packages||yes Virtuoso PL|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding||yes|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication other methods possible by using 3rd party extensions||yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.||Master-master replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes SQL Map-Reduce Framework||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||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||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...|
|Competitive advantages||Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...|
|Typical application scenarios||Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...|
|Key customers||Broad use across enterprises and governments including — European Union (EU) US Government...|
|Market metrics||Largest installed-base of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...|
|Licensing and pricing models||Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service|
General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
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SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
pgDash: In-Depth PostgreSQL Monitoring.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2018
|Conferences and events|
PostgreSQL Conference, Europe 2019
|Recent citations in the news|
PostgreSQL 12 boosts open source database performance
PostgreSQL 12 Released
2ndQuadrant Contributes Major Features to PostgreSQL 12
PostgreSQL turns performance up for v12 release
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