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1. Mongodb or postgresql driver#
2. Mongodb or postgresql license#
3. Mongodb or postgresql series#
4. Mongodb or postgresql free#
5. Mongodb or postgresql windows#

Source-replica replication Source-replica replication other methods possible by using 3rd party extensions MapReduce Offers an API for user-defined Map/Reduce methods yes no can be realized in PL/SQL no Consistency concepts Methods to ensure consistency in a distributed system Eventual Consistency can be individually decided for each read operation Source-replica replication Multi-source replication Sharding, horizontal partitioning partitioning by range, list and (since PostgreSQL 11) by hash Replication methods Methods for redundantly storing data on multiple nodes Multi-Source deployments with MongoDB Atlas Global Clusters Live resharding allows users to change their shard keys as an online operation with zero downtime. Triggers yes in MongoDB Atlas only yes yes Partitioning methods Methods for storing different data on different nodes Sharding Partitioned by hashed, ranged, or zoned sharding keys. Tcl Server-side scripts Stored procedures JavaScript PL/SQL also stored procedures in Java possible user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Mongodb or postgresql driver#

Streaming API for large objects Supported programming languages Actionscript unofficial driver Secondary indexes yes yes yes SQL Support of SQL Read-only SQL queries via the MongoDB Atlas SQL Interface yes with proprietary extensions yes standard with numerous extensions APIs and other access methods GraphQL yes yes specific XML-type available, but no XML query functionality. support for XML data structures, and/or support for XPath, XQuery or XSLT. yes Schemaless in JSON and XML columns yes Typing predefined data types such as float or date yes string, integer, double, decimal, boolean, date, object_id, geospatial yes yes XML support Some form of processing data in XML format, e.g. Optionally impose all or part of a schema by defining a JSON schema.

Mongodb or postgresql windows#

Windows Data scheme schema-free Although schema-free, documents of the same collection often follow the same structure. Implementation language C++ C and C++ C Server operating systems Linux MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. Providers of DBaaS offerings, please contact us to be listed.

Mongodb or postgresql free#

commercial restricted free version is available Open Source BSD Cloud-based only Only available as a cloud service no MongoDB available as DBaaS (MongoDB Atlas) no no DBaaS offerings (sponsored links) Database as a Service

Prior versions were published under GNU AGPL v3.0.

Mongodb or postgresql license#

Spatial DBMS DB-Engines Ranking measures the popularity of database management systems Trend Chart Score 435.49 Rank #5 Overall #1 Document stores Score 1256.01 Rank #1 Overall #1 Relational DBMS Score 617.83 Rank #4 Overall #4 Relational DBMS Website Technical documentation /­manual /­en/­database Developer MongoDB, Inc Oracle PostgreSQL Global Development Group Initial release 2009 1980 1989 1989: Postgres, 1996: PostgreSQL Current release 6.0.7, June 2023 21c, January 2021 15.3, May 2023 License Commercial or Open Source Open Source MongoDB Inc.'s Server Side Public License v1. Spatial DBMS with Oracle Spatial and Graph Document store Vector DBMS currently available in the MongoDB Atlas cloud service only Document store

Mongodb or postgresql series#

Time Series DBMS Time Series Collections introduced in Release 5.0 Search engine integrated Lucene index, currently in MongoDB Atlas only. Handling of key/value pairs with hstore module. Editorial information provided by DB-Engines Name MongoDB X exclude from comparison Oracle X exclude from comparison PostgreSQL X exclude from comparison Description One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure Widely used RDBMS Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL Primary database model Document store Relational DBMS Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Please select another system to include it in the comparison.

PostgreSQL System Properties Comparison MongoDB vs.