DBMS > Microsoft Azure Table Storage vs. Percona Server for MongoDB vs. PostgreSQL
System Properties Comparison Microsoft Azure Table Storage vs. Percona Server for MongoDB vs. PostgreSQL
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|Editorial information provided by DB-Engines|
|Name||Microsoft Azure Table Storage Xexclude from comparison||Percona Server for MongoDB Xexclude from comparison||PostgreSQL Xexclude from comparison|
|Description||A Wide Column Store for rapid development using massive semi-structured datasets||A drop-in replacement for MongoDB Community Edition with enterprise-grade features.||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL|
|Primary database model||Wide column store||Document store||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.|
|Secondary database models||Document store|
|Developer||Microsoft||Percona||PostgreSQL Global Development Group www.postgresql.org/developer|
|Initial release||2012||2015||1989 1989: Postgres, 1996: PostgreSQL|
|Current release||3.4.10-2.10, November 2017||14.4, June 2022|
|License Commercial or Open Source||commercial||Open Source GPL Version 2||Open Source BSD|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux||FreeBSD|
|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.||no||no||yes specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||no||no||yes standard with numerous extensions|
|APIs and other access methods||RESTful HTTP API||proprietary protocol using JSON||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash|
|Replication methods Methods for redundantly storing data on multiple nodes||yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.||Source-replica replication||Source-replica replication other methods possible by using 3rd party extensions|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||optimistic locking||no||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||yes via In-Memory Engine||no|
|User concepts Access control||Access rights based on private key authentication or shared access signatures||Access rights for users and roles||fine grained access rights according to SQL-standard|
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|Microsoft Azure Table Storage||Percona Server for MongoDB||PostgreSQL|
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