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DBMS > Kinetica vs. NSDb vs. TDengine vs. TimesTen vs. Yanza

System Properties Comparison Kinetica vs. NSDb vs. TDengine vs. TimesTen vs. Yanza

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonTDengine  Xexclude from comparisonTimesTen  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTime Series DBMS and big data platformIn-Memory RDBMS compatible to OracleTime Series DBMS for IoT Applications
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.kinetica.comnsdb.iogithub.com/­taosdata/­TDengine
tdengine.com
www.oracle.com/­database/­technologies/­related/­timesten.htmlyanza.com
Technical documentationdocs.kinetica.comnsdb.io/­Architecturedocs.tdengine.comdocs.oracle.com/­database/­timesten-18.1
DeveloperKineticaTDEngine, previously Taos DataOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Yanza
Initial release20122017201919982015
Current release7.1, August 20213.0, August 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL V3, also commercial editions availablecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, ScalaC
Server operating systemsLinuxLinux
macOS
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesno
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.nonononono
Secondary indexesyesall fields are automatically indexednoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageStandard SQL with extensions for time-series applicationsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C++
Java
PL/SQL
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnonoPL/SQLno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes, via alarm monitoringnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoby means of logfiles and checkpointsyes
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 levelyesfine grained access rights according to SQL-standardno
More information provided by the system vendor
KineticaNSDbTDengineTimesTenYanza
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
KineticaNSDbTDengineTimesTenYanza
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