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DBMS > Kinetica vs. NSDb vs. Percona Server for MongoDB vs. Tigris vs. TimesTen

System Properties Comparison Kinetica vs. NSDb vs. Percona Server for MongoDB vs. Tigris vs. TimesTen

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTigris  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 KubernetesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Key-value store
Search engine
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score0.52
Rank#254  Overall
#39  Document stores
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.kinetica.comnsdb.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.tigrisdata.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.kinetica.comnsdb.io/­Architecturedocs.percona.com/­percona-distribution-for-mongodbwww.tigrisdata.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperKineticaPerconaTigris Data, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20122017201520221998
Current release7.1, August 20213.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 2Open Source infoApache Version 2.0commercial
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++
Server operating systemsLinuxLinux
macOS
LinuxLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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 indexedyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
proprietary protocol using JSONCLI Client
gRPC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Go
Java
JavaScript (Node.js)
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsnoJavaScriptnoPL/SQL
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes, using FoundationDByes 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 infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users and rolesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
KineticaNSDbPercona Server for MongoDBTigrisTimesTen
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