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DBMS > GeoSpock vs. GridGain vs. MonetDB vs. Tibero vs. TimesTen

System Properties Comparison GeoSpock vs. GridGain vs. MonetDB vs. Tibero vs. TimesTen

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonMonetDB  Xexclude from comparisonTibero  Xexclude from comparisonTimesTen  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteA relational database management system that stores data in columnsA secure RDBMS, designed for easy portability from OracleIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score1.81
Rank#143  Overall
#65  Relational DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitegeospock.comwww.gridgain.comwww.monetdb.orgus.tmaxsoft.com/­products/­tiberowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.monetdb.org/­Documentationtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperGeoSpockGridGain Systems, Inc.MonetDB BVTmaxSoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2007200420031998
Current release2.0, September 2019GridGain 8.5.1Dec2023 (11.49), December 20236, April 201511 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJava, C++, .NetCC and Assembler
Server operating systemshostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyesyes
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.noyesyesno
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsyesyes
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, RPersistent Stored Procedure (PSM)PL/SQL
Triggersnoyes (cache interceptors and events)yesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tableshorizontal partitioning infoby range, hash, list or compositenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesno infoplanned for next versionyes
User concepts infoAccess controlAccess rights for users can be defined per tableSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)fine grained access rights according to SQL-standard

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More resources
GeoSpockGridGainMonetDBTiberoTimesTen
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