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DBMS > Kinetica vs. PostGIS vs. Sadas Engine vs. Sphinx vs. SWC-DB

System Properties Comparison Kinetica vs. PostGIS vs. Sadas Engine vs. Sphinx vs. SWC-DB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonPostGIS  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsSpatial extension of PostgreSQLSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSSpatial DBMSRelational DBMSSearch engineWide column store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.kinetica.compostgis.netwww.sadasengine.comsphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.kinetica.compostgis.net/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperKineticaSADAS s.r.l.Sphinx Technologies Inc.Alex Kashirin
Initial release20122005200620012020
Current release7.1, August 20213.4.2, February 20248.03.5.1, February 20230.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercial infofree trial version availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
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 languageC, C++CC++C++C++
Server operating systemsLinuxAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Proprietary protocolProprietary protocol
Thrift
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnonono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLhorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQLnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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 RAMnoyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users and roles on table levelyes infobased on PostgreSQLAccess rights for users, groups and roles according to SQL-standardno

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More resources
KineticaPostGISSadas EngineSphinxSWC-DB infoSuper Wide Column Database
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