DBMS > PostgreSQL vs. Quasardb vs. Valentina Server
System Properties Comparison PostgreSQL vs. Quasardb vs. Valentina Server
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||Quasardb Xexclude from comparison||Valentina Server Xexclude from comparison|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Distributed, high-performance timeseries database||Object-relational database and reports server|
|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.||Time Series DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||quasardb||Paradigma Software|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2009||1999|
|Current release||13.2 , February 2021||3.1, January 2019||5.7.5|
|License Commercial or Open Source||Open Source BSD||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses||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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|ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.|
|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||yes||yes integer and binary||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|
|Secondary indexes||yes||yes with tags||yes|
|SQL Support of SQL||yes standard with numerous extensions||SQL-like query language||yes|
|APIs and other access methods||ADO.NET|
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.||no||yes|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||Source-replica replication with selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||with Hadoop integration||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes by using LevelDB||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes Transient mode||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||Cryptographically strong user authentication and audit trail||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||High-performance , high-speed, fully integrated timeseries database Seamlessly combines...|
|Competitive advantages||High performance in a cost-effective small package Real-time results for even large...|
|Typical application scenarios||Tick database Predictive maintenance Pre-deal checks Large scale monitoring|
|Key customers||Large EU investment banks US based hedge funds Orolia Tellmeplus|
|Market metrics||Has been running in very demanding production environments since 2013 Rapid adoption...|
|Licensing and pricing models||Community edition limited to 2 nodes and 16 GiB of storage per node available for...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||EDB: Helping organizations get the most from PostgreSQL, Oracle Migration, High Availability, Security|
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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pgDash: In-Depth PostgreSQL Monitoring.
Fivetran: Quickly and easily centralize your on-premise and cloud databases.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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