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DBMS > Graph Engine vs. Kinetica vs. Linter vs. TempoIQ vs. TerminusDB

System Properties Comparison Graph Engine vs. Kinetica vs. Linter vs. TempoIQ vs. TerminusDB

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonKinetica  Xexclude from comparisonLinter  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully vectorized database across both GPUs and CPUsRDBMS for high security requirementsScalable analytics DBMS for sensor data, provided as a service (SaaS)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.graphengine.iowww.kinetica.comlinter.rutempoiq.com (offline)terminusdb.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.kinetica.comterminusdb.github.io/­terminusdb/­#
DeveloperMicrosoftKineticarelex.ruTempoIQDataChemist Ltd.
Initial release20102012199020122018
Current release7.1, August 202111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC, C++C and C++Prolog, Rust
Server operating systems.NETLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesnoSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLnoyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationJournaling Streams
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 configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardsimple authentication-based access controlRole-based access control

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More resources
Graph Engine infoformer name: TrinityKineticaLinterTempoIQ infoformerly TempoDBTerminusDB infoformer name was DataChemist
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