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DBMS > Kinetica vs. Kingbase vs. NSDb vs. Riak TS vs. TimesTen

System Properties Comparison Kinetica vs. Kingbase vs. NSDb vs. Riak TS vs. TimesTen

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonKingbase  Xexclude from comparisonNSDb  Xexclude from comparisonRiak TS  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.kinetica.comwww.kingbase.com.cnnsdb.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.kinetica.comnsdb.io/­Architecturewww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.oracle.com/­database/­timesten-18.1
DeveloperKineticaBeiJing KINGBASE Information technologies inc.Open Source, formerly Basho TechnologiesOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20121999201720151998
Current release7.1, August 2021V8.0, August 20213.0.0, September 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C and JavaJava, ScalaErlang
Server operating systemsLinuxLinux
Windows
Linux
macOS
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringnoyes
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.noyesnonono
Secondary indexesyesyesall fields are automatically indexedrestrictedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsSQL-like query languageyes, limitedyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
gRPC
HTTP REST
WebSocket
HTTP API
Native Erlang Interface
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Scala
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
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoErlangPL/SQL
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes infoby means of logfiles and checkpoints
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 levelfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
KineticaKingbaseNSDbRiak TSTimesTen
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