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DBMS > Kinetica vs. NSDb vs. RethinkDB vs. SurrealDB vs. TimesTen

System Properties Comparison Kinetica vs. NSDb vs. RethinkDB vs. SurrealDB vs. TimesTen

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparisonSurrealDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.A fully ACID transactional, developer-friendly, multi-model DBMSIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Graph DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial 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
Score2.74
Rank#105  Overall
#19  Document stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.kinetica.comnsdb.iorethinkdb.comsurrealdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.kinetica.comnsdb.io/­Architecturerethinkdb.com/­docssurrealdb.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperKineticaThe Linux Foundation infosince July 2017SurrealDB LtdOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20122017200920221998
Current release7.1, August 20212.4.1, August 2020v1.5.0, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, ScalaC++Rust
Server operating systemsLinuxLinux
macOS
Linux
OS X
Windows
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes infostring, binary, float, bool, date, geometryyesyes
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.nononono
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
GraphQL
RESTful HTTP API
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Deno
Go
JavaScript (Node.js)
Rust
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsnoPL/SQL
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes 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 RAMnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousers and table-level permissionsyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
KineticaNSDbRethinkDBSurrealDBTimesTen
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