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DBMS > GridGain vs. TimescaleDB vs. TimesTen vs. Valentina Server

System Properties Comparison GridGain vs. TimescaleDB vs. TimesTen vs. Valentina Server

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to OracleObject-relational database and reports server
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.gridgain.comwww.timescale.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.valentina-db.net
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.timescale.comdocs.oracle.com/­database/­timesten-18.1valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGridGain Systems, Inc.TimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Paradigma Software
Initial release2007201719981999
Current releaseGridGain 8.5.12.15.0, May 202411 Release 2 (11.2.2.8.0)5.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyes
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infofull PostgreSQL SQL syntaxyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQLyes
Triggersyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GridGainTimescaleDBTimesTenValentina Server
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