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DBMS > Kinetica vs. SpaceTime vs. Sphinx vs. STSdb

System Properties Comparison Kinetica vs. SpaceTime vs. Sphinx vs. STSdb

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSpaceTime  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsSpaceTime is a spatio-temporal DBMS with a focus on performance.Open source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSSpatial DBMSSearch engineKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.kinetica.comwww.mireo.com/­spacetimesphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.kinetica.comsphinxsearch.com/­docs
DeveloperKineticaMireoSphinx Technologies Inc.STS Soft SC
Initial release2012202020012011
Current release7.1, August 20213.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
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++C#
Server operating systemsLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes infoprimitive types and user defined types (classes)
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 indexesyesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like DML and DDL statementsA subset of ANSI SQL is implementedSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIProprietary protocol.NET Client API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
C++
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardingFixed-grid hypercubesSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationReal-time block device replication (DRBD)nonenone
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 Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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
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 levelyesnono

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KineticaSpaceTimeSphinxSTSdb
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