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DBMS > Firebolt vs. Kinetica vs. Sphinx

System Properties Comparison Firebolt vs. Kinetica vs. Sphinx

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonKinetica  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseFully vectorized database across both GPUs and CPUsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.44
Rank#152  Overall
#70  Relational DBMS
Score0.44
Rank#256  Overall
#118  Relational DBMS
Score5.92
Rank#58  Overall
#6  Search engines
Websitewww.firebolt.iowww.kinetica.comsphinxsearch.com
Technical documentationdocs.firebolt.iodocs.kinetica.comsphinxsearch.com/­docs
DeveloperFirebolt Analytics Inc.KineticaSphinx Technologies Inc.
Initial release202020122001
Current release7.1, August 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++
Server operating systemshostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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.no
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesGo
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelno

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FireboltKineticaSphinx
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