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DBMS > Greenplum vs. IBM Db2 warehouse vs. MongoDB vs. mSQL vs. PostgreSQL

System Properties Comparison Greenplum vs. IBM Db2 warehouse vs. MongoDB vs. mSQL vs. PostgreSQL

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMongoDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Cloud-based data warehousing serviceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructuremSQL (Mini SQL) is a simple and lightweight RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitegreenplum.orgwww.ibm.com/­products/­db2/­warehousewww.mongodb.comhughestech.com.au/­products/­msqlwww.postgresql.org
Technical documentationdocs.greenplum.orgwww.mongodb.com/­docs/­manualwww.postgresql.org/­docs
DeveloperPivotal Software Inc.IBMMongoDB, IncHughes TechnologiesPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20052014200919941989 info1989: Postgres, 1996: PostgreSQL
Current release7.0.0, September 20236.0.7, June 20234.4, October 202116.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial infofree licenses can be providedOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)nono
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Implementation languageC++CC
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesschema-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.yesyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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 infosince Version 4.2no infoImport/export of XML data possiblenoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesRead-only SQL queries via the MongoDB Atlas SQL InterfaceA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
OLE DB
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
Perl
Python
R
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript 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++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLJavaScriptnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyes infoin MongoDB Atlas onlynoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.nonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
noneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
noneImmediate Consistency
Foreign keys infoReferential integrityyesyesno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-document ACID Transactions with snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-memory storage engine introduced with MongoDB version 3.2nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
GreenplumIBM Db2 warehouse infoformerly named IBM dashDBMongoDBmSQL infoMini SQLPostgreSQL
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

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More resources
GreenplumIBM Db2 warehouse infoformerly named IBM dashDBMongoDBmSQL infoMini SQLPostgreSQL
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