DBMS > PostgreSQL vs. Valentina Server
System Properties Comparison PostgreSQL vs. Valentina Server
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL 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||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.||Relational DBMS|
|Secondary database models||Document store|
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|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Paradigma Software|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||1999|
|Current release||15.3, May 2023||5.7.5|
|License Commercial or Open Source||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||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.|
|SQL Support of SQL||yes standard with numerous extensions||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.||yes|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||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||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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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.|
pgDash: In-Depth PostgreSQL Monitoring.
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
The State of PostgreSQL 2022 survey is now open!
Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Aiven for PostgreSQL: The familiar open source PostgreSQL® that you know and love, with no proprietary features or add-ons that will lock you in.
Instaclustr: Fully Hosted & Managed PostgreSQL
DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
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|DB-Engines blog posts|
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