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DBMS > Apache Doris vs. Greenplum vs. IRONdb vs. MongoDB vs. PostgreSQL

System Properties Comparison Apache Doris vs. Greenplum vs. IRONdb vs. MongoDB vs. PostgreSQL

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGreenplum  Xexclude from comparisonIRONdb  Xexclude from comparisonMongoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAnalytic 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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeRelational 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
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
greenplum.orgwww.circonus.com/solutions/time-series-database/www.mongodb.comwww.postgresql.org
Technical documentationgithub.com/­apache/­doris/­wikidocs.greenplum.orgdocs.circonus.com/irondb/category/getting-startedwww.mongodb.com/­docs/­manualwww.postgresql.org/­docs
DeveloperApache Software Foundation, originally contributed from BaiduPivotal Software Inc.Circonus LLC.MongoDB, IncPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20172005201720091989 info1989: Postgres, 1996: PostgreSQL
Current release1.2.2, February 20237.0.0, September 2023V0.10.20, January 20186.0.7, June 202316.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open 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.Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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.Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaC and C++C++C
Server operating systemsLinuxLinuxLinuxLinux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesschema-freeschema-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.yes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.noyes infosince Version 4.2noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)Read-only SQL queries via the MongoDB Atlas SQL Interfaceyes infostandard with numerous extensions
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
HTTP APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaC
Java
Perl
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesyes, in LuaJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesnoyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic, metric affinity per nodeSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.partitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationconfigurable replication factor, datacenter awareMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integritynoyesnono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisGreenplumIRONdbMongoDBPostgreSQL
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
Apache DorisGreenplumIRONdbMongoDBPostgreSQL
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