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DBMS > GridDB vs. Kinetica vs. TerarkDB vs. VelocityDB

System Properties Comparison GridDB vs. Kinetica vs. TerarkDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataFully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSKey-value storeGraph DBMS
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitegriddb.netwww.kinetica.comgithub.com/­bytedance/­terarkdbvelocitydb.com
Technical documentationdocs.griddb.netdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvelocitydb.com/­UserGuide
DeveloperToshiba CorporationKineticaByteDance, originally TerarkVelocityDB Inc
Initial release2013201220162011
Current release5.1, August 20227.1, August 20217.x
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial inforestricted open source version 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#
Server operating systemsLinuxLinuxAny that supports .NET
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesnoyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
.Net
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C++
Java
.Net
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and roles on table levelnoBased on Windows Authentication
More information provided by the system vendor
GridDBKineticaTerarkDBVelocityDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBKineticaTerarkDBVelocityDB
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