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DBMS > FeatureBase vs. Kinetica vs. OpenTenBase

System Properties Comparison FeatureBase vs. Kinetica vs. OpenTenBase

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonKinetica  Xexclude from comparisonOpenTenBase  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Fully vectorized database across both GPUs and CPUsAn enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#292  Overall
#132  Relational DBMS
Score0.45
Rank#252  Overall
#118  Relational DBMS
Score0.00
Rank#390  Overall
#157  Relational DBMS
Websitewww.featurebase.comwww.kinetica.comgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
Technical documentationdocs.featurebase.comdocs.kinetica.comdocs.opentenbase.org
docs.opentenbase.org/­en
DeveloperMolecula and Pilosa Open Source ContributorsKineticaOpenAtom Foundation, previously Tencent
Initial release20172012
Current release2022, May 20227.1, August 20212.5, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++
Server operating systemsLinux
macOS
LinuxLinux
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 indexesnoyesyes
SQL infoSupport of SQLSQL queriesSQL-like DML and DDL statementsyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
C++
Java
JavaScript (Node.js)
Python
C
Go
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standard

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More resources
FeatureBaseKineticaOpenTenBase
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