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DBMS > Kinetica vs. Quasardb vs. Sphinx vs. Tibero

System Properties Comparison Kinetica vs. Quasardb vs. Sphinx vs. Tibero

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score1.46
Rank#151  Overall
#70  Relational DBMS
Websitewww.kinetica.comquasar.aisphinxsearch.comus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.kinetica.comdoc.quasar.ai/­mastersphinxsearch.com/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperKineticaquasardbSphinx Technologies Inc.TmaxSoft
Initial release2012200920012003
Current release7.1, August 20213.14.1, January 20243.5.1, February 20237, September 2022
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++C and Assembler
Server operating systemsLinuxBSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes
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.nonoyes
Secondary indexesyesyes infowith tagsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIProprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsnonoPersistent Stored Procedure (PSM)
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 infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
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 persistentyesyes infoby using LevelDByes 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 RAMyes infoTransient modeno infoplanned for next version
User concepts infoAccess controlAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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KineticaQuasardbSphinxTibero
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