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DBMS > GeoSpock vs. GridGain vs. OpenQM vs. RisingWave vs. Valentina Server

System Properties Comparison GeoSpock vs. GridGain vs. OpenQM vs. RisingWave vs. Valentina Server

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRisingWave  Xexclude from comparisonValentina Server  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 IgniteQpenQM is a high-performance, self-tuning, multi-value DBMSA distributed RDBMS for stream processing, wire-compatible with PostgreSQLObject-relational database and reports server
Primary database modelRelational DBMSKey-value store
Relational DBMS
Multivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series 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
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegeospock.comwww.gridgain.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.risingwave.com/­databasewww.valentina-db.net
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.risingwave.com/­docs/­current/­introvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGeoSpockGridGain Systems, Inc.Rocket Software, originally Martin PhillipsRisingWave LabsParadigma Software
Initial release2007199320221999
Current release2.0, September 2019GridGain 8.5.13.4-121.2, September 20235.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJava, C++, .NetRust
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes
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 DDLnoyesyes
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
PostgreSQL wire protocol
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesUDFs in Python or Javayes
Triggersnoyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes
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 Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per tableSecurity Hooks for custom implementationsAccess rights can be defined down to the item levelUsers and Rolesfine grained access rights according to SQL-standard

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More resources
GeoSpockGridGainOpenQM infoalso called QMRisingWaveValentina Server
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How GeoSpock is supercharging geospatial analytics
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