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DBMS > Kinetica vs. Sphinx vs. SWC-DB vs. Transwarp KunDB

System Properties Comparison Kinetica vs. Sphinx vs. SWC-DB vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOpen source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMSOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSSearch engineWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitewww.kinetica.comsphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.kinetica.comsphinxsearch.com/­docs
DeveloperKineticaSphinx Technologies Inc.Alex KashirinTranswarp
Initial release201220012020
Current release7.1, August 20213.5.1, February 20230.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (SphinxQL)SQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocolProprietary protocol
Thrift
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelnoyes

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More resources
KineticaSphinxSWC-DB infoSuper Wide Column DatabaseTranswarp KunDB
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