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DBMS > MonetDB vs. Postgres-XL vs. Splice Machine vs. StarRocks vs. WakandaDB

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

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  Xexclude from comparisonStarRocks  Xexclude from comparisonWakandaDB  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 SparkAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSObject oriented 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
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.monetdb.orgwww.postgres-xl.orgsplicemachine.comwww.starrocks.iowakanda.github.io
Technical documentationwww.monetdb.org/­Documentationwww.postgres-xl.org/­documentationsplicemachine.com/­how-it-worksdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introwakanda.github.io/­doc
DeveloperMonetDB BVSplice MachineThe Linux Foundation infosince Feb 2023Wakanda SAS
Initial release20042014 infosince 2012, originally named StormDB201420202012
Current releaseDec2023 (11.49), December 202310 R1, October 20183.1, March 20212.5.3, March 20232.7.0 (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 infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
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++, JavaC++, JavaScript
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyes infodistributed, parallel query executionyesyesno
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
JDBC
MySQL protocol
RESTful HTTP API
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
JavaJavaScript
Server-side scripts infoStored proceduresyes, in SQL, C, Ruser defined functionsyes infoJavauser defined functionsyes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning (by range and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
none
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
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDnoACID
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.noyesnono
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-standardRole based access control and fine grained access rightsyes

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More resources
MonetDBPostgres-XLSplice MachineStarRocksWakandaDB
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