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

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

Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonsearchxml  Xexclude from comparisonSplice Machine  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 featuresDBMS for structured and unstructured content wrapped with an application serverOpen-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 data
Primary database modelRelational DBMSRelational DBMSNative XML DBMS
Search engine
Relational 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
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.monetdb.orgwww.postgres-xl.orgwww.searchxml.net/­category/­productssplicemachine.comwakanda.github.io
Technical documentationwww.monetdb.org/­Documentationwww.postgres-xl.org/­documentationwww.searchxml.net/­support/­handoutssplicemachine.com/­how-it-workswakanda.github.io/­doc
DeveloperMonetDB BVinformationpartners gmbhSplice MachineWakanda SAS
Initial release20042014 infosince 2012, originally named StormDB201520142012
Current releaseDec2023 (11.49), December 202310 R1, October 20181.03.1, March 20212.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoMozilla public licensecommercialOpen Source infoAGPL 3.0, commercial license availableOpen 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 languageCCC++JavaC++, JavaScript
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
WindowsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
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 functionalityyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyes infodistributed, parallel query executionnoyesno
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
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
Native Spark Datasource
ODBC
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++ infomost other programming languages supported via APIsC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyes, in SQL, C, Ruser defined functionsyes infoon the application serveryes infoJavayes
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusyes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCmultiple readers, single writerACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application servicesAccess rights for users, groups and roles according to SQL-standardyes

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More resources
MonetDBPostgres-XLsearchxmlSplice MachineWakandaDB
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