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DBMS > Kdb vs. MonetDB vs. Sphinx vs. XTDB

System Properties Comparison Kdb vs. MonetDB vs. Sphinx vs. XTDB

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMonetDB  Xexclude from comparisonSphinx  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA relational database management system that stores data in columnsOpen source search engine for searching in data from different sources, e.g. relational databasesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSSearch engineDocument store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.13
Rank#330  Overall
#45  Document stores
Websitekx.comwww.monetdb.orgsphinxsearch.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcode.kx.comwww.monetdb.org/­Documentationsphinxsearch.com/­docswww.xtdb.com/­docs
DeveloperKx Systems, a division of First Derivatives plcMonetDB BVSphinx Technologies Inc.Juxt Ltd.
Initial release2000 infokdb was released 2000, kdb+ in 2003200420012019
Current release3.6, May 2018Dec2023 (11.49), December 20233.5.1, February 20231.19, September 2021
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqCC++Clojure
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes, extensible-data-notation format
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.yesno
Secondary indexesyes infotable attribute 'grouped'yesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (q)yes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)limited SQL, making use of Apache Calcite
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocolHTTP REST
JDBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, Rnono
Triggersyes infowith viewsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding via remote tablesSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental statusnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
KdbMonetDBSphinxXTDB infoformerly named Crux
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
KdbMonetDBSphinxXTDB infoformerly named Crux
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