DBMS > PostgreSQL vs. SpatiaLite
System Properties Comparison PostgreSQL vs. SpatiaLite
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||SpatiaLite Xexclude from comparison|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Spatial extension of SQLite|
|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.||Spatial DBMS|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Alessandro Furieri|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2008|
|Current release||14.4, June 2022||5.0.0, August 2020|
|License Commercial or Open Source||Open Source BSD||Open Source MPL 1.1, GPL v2.0 or LGPL v2.1|
|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.||no|
|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.||no|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||none|
|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||ACID|
|Concurrency Support for concurrent manipulation of data||yes||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||no|
More information provided by the system vendor
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|Related products and services|
|3rd parties||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.
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
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.
CYBERTEC is your professional partner for PostgreSQL services and Data Science since 2000. With offices in Austria, Uruguay, Estonia, Poland, South Africa and Switzerland, CYBERTEC operates worldwide and is here for you 24/7!
EDB: BigAnimal is fully-managed PostgreSQL in the cloud from the database fanatics at EDB.
pgDash: In-Depth PostgreSQL Monitoring.
Instaclustr: Fully Hosted & Managed PostgreSQL
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Percona: Database problems? Not on your watch.
Databases run better with Percona.
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.
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.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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