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DBMS > Kinetica vs. OpenTSDB vs. PostgreSQL vs. Riak TS

System Properties Comparison Kinetica vs. OpenTSDB vs. PostgreSQL vs. Riak TS

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsScalable Time Series DBMS based on HBaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.kinetica.comopentsdb.netwww.postgresql.org
Technical documentationdocs.kinetica.comopentsdb.net/­docs/­build/­html/­index.htmlwww.postgresql.org/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperKineticacurrently maintained by Yahoo and other contributorsPostgreSQL Global Development Group infowww.postgresql.org/­developerOpen Source, formerly Basho Technologies
Initial release201220111989 info1989: Postgres, 1996: PostgreSQL2015
Current release7.1, August 202116.3, May 20243.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoLGPLOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaCErlang
Server operating systemsLinuxLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsyesno
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infostandard with numerous extensionsyes, limited
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Telnet API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Native Erlang Interface
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Erlang
Go
Java
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Erlang
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasepartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBaseSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBaseImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelnofine grained access rights according to SQL-standardno

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More resources
KineticaOpenTSDBPostgreSQLRiak TS
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