DB-EngineseXtremeDB: 5 9's high availability databaseEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AgensGraph vs. Citus vs. MonetDB vs. Postgres-XL

System Properties Comparison AgensGraph vs. Citus vs. MonetDB vs. Postgres-XL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCitus  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA relational database management system that stores data in columnsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#323  Overall
#31  Graph DBMS
#133  Relational DBMS
Score1.24
Rank#151  Overall
#74  Relational DBMS
Score1.96
Rank#125  Overall
#62  Relational DBMS
Score0.56
Rank#218  Overall
#104  Relational DBMS
Websitebitnine.netwww.citusdata.comwww.monetdb.orgwww.postgres-xl.org
Technical documentationbitnine.net/­documentationdocs.citusdata.comwww.monetdb.org/­Documentationwww.postgres-xl.org/­documentation
DeveloperBitnine Global Inc.MonetDB BV
Initial release2016201020042014 infosince 2012, originally named StormDB
Current release2.1, December 20188.1, December 2018Jun2020-SP1, July 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL, commercial license also availableOpen Source infoMozilla Public License 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCCC
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML type available, but no XML query functionalityyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsyes infoSQL 2003 with some extensionsyes infodistributed, parallel query execution
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in SQL, C, Ruser defined functions
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphCitusMonetDBPostgres-XL
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Taking MonetDB/e for a taxi ride
12 July 2020

The MonetDB/e Python interface for data analytics
10 July 2020

MonetDB/e, a mature embedded SQL DBMS
8 July 2020

Doctor, what’s happening with my query in the MonetDB kernel?
15 June 2020

From automake to CMake: a facelift for our build infrastructure
9 June 2020

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AgensGraphCitusMonetDBPostgres-XL
Recent citations in the news

Bitnine Looks to Scale PostgreSQL
30 June 2020, Datanami

PostgreSQL Multi-Model Graph Extension Announced
13 July 2020, iProgrammer

Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
29 January 2019, Business Wire

Graph DBMS Performance Comparison AgensGraph vs. Neo4j
29 June 2017, Business Wire

Exclusive Interview: Bitnine CEO Cheolsun Kang Announces the Release of AgensGraph v1.1, the Hybrid DBMS
20 April 2017, Business Wire

provided by Google News

Database Software Global Market Report 2020-30: Covid 19 Impact and Recovery
16 September 2020, GlobeNewswire

Microsoft acquires Citus Data
24 January 2019, TechCrunch

Global Laminated Tube Filling Machine Market 2020 Analysis, Types, Applications, Forecast and COVID-19 Impact Analysis 2025
29 September 2020, News Typical

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

Citus Data Announces HIPAA-Compliant Healthcare Cloud
13 November 2018, HITInfrastructure.com

provided by Google News

MonetDB Solutions secures investment from ServiceNow — CWI Amsterdam
1 October 2019, Centrum Wiskunde & Informatica (CWI)

RDBMS Software Market Size, Share, Growth Rate, Revenue, Applications, Industry Demand & Forecast to 2025
23 September 2020, thedailychronicle.in

RDBMS Software Market 2020 Business Opportunities and Leading Brands Analysis –Cubrid, TmaxSoft, SQLite, Oracle, Microsoft, PostgreSQL Global Development Group, ThinkSQL, SolarWinds IT Operations Management, IBM, CA Technologies, FrontBase, MonetDB, VoltDB
24 September 2020, Crypto Daily

Integrating data science and relational systems — CWI Amsterdam
10 June 2020, Centrum Wiskunde & Informatica (CWI)

Tracing Stars with MonetDB in the Cloud
10 August 2015, Centrum Wiskunde & Informatica (CWI)

provided by Google News

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

When PostgreSQL Doesn't Scale Well Enough
18 April 2016, DZone News

PostgreSQL vs. Hadoop
20 August 2016, DZone News

Experts Partner to Enhance Database Integration and Deployment Services
27 August 2014, PR Newswire

PostgreSQL 9.4's secret weapon? YES, IT'S A NEW FILE FORMAT!
16 May 2014, Register

provided by Google News




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Present your product here