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DBMS > Kdb vs. Manticore Search vs. PostGIS vs. SWC-DB vs. Valentina Server

System Properties Comparison Kdb vs. Manticore Search vs. PostGIS vs. SWC-DB vs. Valentina Server

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonManticore Search  Xexclude from comparisonPostGIS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh performance Time Series DBMSMulti-storage database for search, including full-text search.Spatial extension of PostgreSQLA high performance, scalable Wide Column DBMSObject-relational database and reports server
Primary database modelTime Series DBMS
Vector DBMS
Search engineSpatial DBMSWide column storeRelational DBMS
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitekx.commanticoresearch.compostgis.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.valentina-db.net
Technical documentationcode.kx.commanual.manticoresearch.compostgis.net/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperKx Systems, a division of First Derivatives plcManticore SoftwareAlex KashirinParadigma Software
Initial release2000 infokdb was released 2000, kdb+ in 20032017200520201999
Current release3.6, May 20186.0, February 20233.4.2, February 20240.5, April 20215.7.5
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPL version 2Open Source infoGPL v2.0Open Source infoGPL V3commercial
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 languageqC++CC++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
LinuxLinux
OS X
Windows
Data schemeyesFixed schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.yesCan index from XMLyesno
Secondary indexesyes infotable attribute 'grouped'yes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query language (q)SQL-like query languageyesSQL-like query languageyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocol
Thrift
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsuser defined functionsnoyes
Triggersyes infowith viewsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlrights management via user accountsnoyes infobased on PostgreSQLfine grained access rights according to SQL-standard
More information provided by the system vendor
KdbManticore SearchPostGISSWC-DB infoSuper Wide Column DatabaseValentina Server
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
KdbManticore SearchPostGISSWC-DB infoSuper Wide Column DatabaseValentina Server
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