DBMS > PostgreSQL vs. Sqrrl
System Properties Comparison PostgreSQL vs. Sqrrl
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||Sqrrl Xexclude from comparison|
|Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Adaptable, secure NoSQL built on Apache Accumulo|
|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.||Document store|
Wide column store
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Amazon originally Sqrrl Data, Inc.|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2012|
|Current release||12.3, May 2020|
|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||no|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
RESTful HTTP API
|Supported programming languages||.Net|
C using GLib
|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||Sharding making use of Hadoop|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication other methods possible by using 3rd party extensions||selectable replication factor making use of Hadoop|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.|
|Foreign keys Referential integrity||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Atomic updates per row, document, or graph entity|
|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|
|User concepts Access control||fine grained access rights according to SQL-standard||Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)|
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|Related products and services|
|3rd parties||Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service|
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
2ndQuadrant: Mission Critical Databases.
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
pgDash: In-Depth PostgreSQL Monitoring.
General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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|
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