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DBMS > HBase vs. Kinetica vs. Riak KV vs. STSdb vs. TimescaleDB

System Properties Comparison HBase vs. Kinetica vs. Riak KV vs. STSdb vs. TimescaleDB

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitehbase.apache.orgwww.kinetica.comgithub.com/­STSSoft/­STSdb4www.timescale.com
Technical documentationhbase.apache.org/­book.htmldocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetKineticaOpenSource, formerly Basho TechnologiesSTS Soft SCTimescale
Initial release20082012200920112017
Current release2.3.4, January 20217.1, August 20213.2.0, December 20224.0.8, September 20152.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ErlangC#C
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
WindowsLinux
OS X
Windows
Data schemeschema-free, schema definition possibleyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyes infoprimitive types and user defined types (classes)numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesnoyesrestrictednoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
.NET Client APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functionsErlangnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"noneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factornoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table levelyes, using Riak Securitynofine grained access rights according to SQL-standard

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More resources
HBaseKineticaRiak KVSTSdbTimescaleDB
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