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DBMS > MongoDB vs. PostGIS vs. Quasardb

System Properties Comparison MongoDB vs. PostGIS vs. Quasardb

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureSpatial extension of PostgreSQLDistributed, high-performance timeseries database
Primary database modelDocument storeSpatial DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score493.55
Rank#5  Overall
#1  Document stores
Score31.64
Rank#27  Overall
#1  Spatial DBMS
Score0.19
Rank#288  Overall
#23  Time Series DBMS
Websitewww.mongodb.compostgis.netquasardb.net
Technical documentationdocs.mongodb.com/­manualpostgis.net/­documentationdoc.quasardb.net
DeveloperMongoDB, Incquasardb
Initial release200920052009
Current release5.0, July 20213.1.4, September 20213.1, January 2019
License infoCommercial or Open SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • 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.
Implementation languageC++CC++
Server operating systemsLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeschema-free infoAlthough 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.yesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes infointeger and binary
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BIyesSQL-like query language
APIs and other access methodsproprietary protocol using JSONHTTP API
Supported programming languagesActionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresJavaScriptuser defined functionsno
Triggersyes infoin MongoDB Atlas onlyyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.yes infobased on PostgreSQLSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes infobased on PostgreSQLSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2noyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesyes infobased on PostgreSQLCryptographically strong user authentication and audit trail
More information provided by the system vendor
MongoDBPostGISQuasardb
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
MongoDBPostGISQuasardb
DB-Engines blog posts

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Conferences and events

MongoDB & Google Cloud Developer Summit
Virtual Event, 28 October 2021

MongoDB.Local London
London, 9 November 2021

Finished events

Introduction to MongoDB
Webinar, on demand, 27 July 2021 (finished)

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