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DBMS > Firebolt vs. Kinetica vs. VelocityDB

System Properties Comparison Firebolt vs. Kinetica vs. VelocityDB

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonKinetica  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseFully vectorized database across both GPUs and CPUsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#128  Overall
#62  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitewww.firebolt.iowww.kinetica.comvelocitydb.com
Technical documentationdocs.firebolt.iodocs.kinetica.comvelocitydb.com/­UserGuide
DeveloperFirebolt Analytics Inc.KineticaVelocityDB Inc
Initial release202020122011
Current release7.1, August 20217.x
License infoCommercial or Open Sourcecommercialcommercialcommercial
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 systemshostedLinuxAny that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.Net
Supported programming languagesGo
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replication
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 configurationImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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
User concepts infoAccess controlAccess rights for users and roles on table levelBased on Windows Authentication

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More resources
FireboltKineticaVelocityDB
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