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DBMS > MonetDB vs. Postgres-XL vs. Splice Machine vs. WakandaDB vs. Warp 10

System Properties Comparison MonetDB vs. Postgres-XL vs. Splice Machine vs. WakandaDB vs. Warp 10

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  Xexclude from comparisonWakandaDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.monetdb.orgwww.postgres-xl.orgsplicemachine.comwakanda.github.iowww.warp10.io
Technical documentationwww.monetdb.org/­Documentationwww.postgres-xl.org/­documentationsplicemachine.com/­how-it-workswakanda.github.io/­docwww.warp10.io/­content/­02_Getting_started
DeveloperMonetDB BVSplice MachineWakanda SASSenX
Initial release20042014 infosince 2012, originally named StormDB201420122015
Current releaseDec2023 (11.49), December 202310 R1, October 20183.1, March 20212.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoMozilla public licenseOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPLv3, extended commercial license availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCJavaC++, JavaScriptJava
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyes infodistributed, parallel query executionyesnono
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyes, in SQL, C, Ruser defined functionsyes infoJavayesyes infoWarpScript
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
MonetDBPostgres-XLSplice MachineWakandaDBWarp 10
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