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DBMS > MongoDB vs. OushuDB vs. PostgreSQL vs. Quasardb vs. Splice Machine

System Properties Comparison MongoDB vs. OushuDB vs. PostgreSQL vs. Quasardb vs. Splice Machine

Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonOushuDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSRelational 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
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score410.24
Rank#5  Overall
#1  Document stores
Score0.05
Rank#357  Overall
#151  Relational DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.mongodb.comwww.oushu.com/­product/­oushuDBwww.postgresql.orgquasar.aisplicemachine.com
Technical documentationwww.mongodb.com/­docs/­manualwww.oushu.com/­documentationwww.postgresql.org/­docsdoc.quasar.ai/­mastersplicemachine.com/­how-it-works
DeveloperMongoDB, IncOushuPostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbSplice Machine
Initial release20091989 info1989: Postgres, 1996: PostgreSQL20092014
Current release7.0.5, January 20244.0.1, August 202016.4, August 20243.14.1, January 20243.1, March 2021
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.commercialOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)nononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • 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.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageC++CC++Java
Server operating systemsLinux
OS X
Solaris
Windows
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
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.yesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyesyes infointeger and binaryyes
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.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes infowith tagsyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Atlas SQL InterfaceFull-featured ANSI SQL supportyes infostandard with numerous extensionsSQL-like query languageyes
APIs and other access methodsGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
Native Spark Datasource
ODBC
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
Kotlin
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
C
C++
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJavaScriptyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoJava
Triggersyes infoin MongoDB Atlas onlyyesyesnoyes
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.yespartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnowith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyesyesyes infoby using LevelDByes
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 modeyes
User concepts infoAccess controlAccess rights for users and rolesKerberos, SSL and role based accessfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
MongoDBOushuDBPostgreSQLQuasardbSplice Machine
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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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3rd partiesNavicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems.
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pgDash: In-Depth PostgreSQL Monitoring.
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Instaclustr: Fully Hosted & Managed PostgreSQL
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CYBERTEC is your professional partner in PostgreSQL topics for over 20 years. As our main aim is to be your single-source all-in-one IT service provider, we offer a wide range of products and services. Visit our website for more details.
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SharePlex is the reliable and affordable data replication solution for PostgreSQL migrations, high availability and more.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MongoDBOushuDBPostgreSQLQuasardbSplice Machine
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