DBMS > EDB Postgres vs. MongoDB vs. ToroDB
System Properties Comparison EDB Postgres vs. MongoDB vs. ToroDB
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|Editorial information provided by DB-Engines|
|Name||EDB Postgres Xexclude from comparison||MongoDB Xexclude from comparison||ToroDB Xexclude from comparison|
|Description||The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||A MongoDB-compatible JSON document store, built on top of PostgreSQL|
|Primary database model||Relational DBMS||Document store||Document store|
|Secondary database models||Document store|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
|Current release||14, December 2021||6.0.1, August 2022|
|License Commercial or Open Source||commercial BSD for PostgreSQL-components||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source AGPL-V3|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
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|Server operating systems||Linux|
|All OS with a Java 7 VM|
|Data scheme||yes||schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.||schema-free|
|Typing predefined data types such as float or date||yes||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes string, integer, double, boolean, date, object_id|
|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||Read-only SQL queries via the MongoDB Connector for BI|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
|proprietary protocol using JSON|
|Supported programming languages||.Net|
|Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||yes||yes in MongoDB Atlas only||no|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning by hash, list or range||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||Multi-Source deployments with MongoDB Atlas Global Clusters|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||yes||no typically not used, however similar functionality with DBRef possible||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Multi-document ACID Transactions with snapshot isolation||no|
|Concurrency Support for concurrent manipulation of data||yes, multi-version concurrency control (MVCC)||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes In-memory storage engine introduced with MongoDB version 3.2|
|User concepts Access control||fine grained access rights according to SQL-standard||Access rights for users and roles||Access rights for users and roles|
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