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DBMS > Derby vs. GeoSpock vs. GridGain vs. HEAVY.AI vs. Tibero

System Properties Comparison Derby vs. GeoSpock vs. GridGain vs. HEAVY.AI vs. Tibero

Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTibero  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Spatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitedb.apache.org/­derbygeospock.comwww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
us.tmaxsoft.com/­products/­tibero
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlwww.gridgain.com/­docs/­index.htmldocs.heavy.aitechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software FoundationGeoSpockGridGain Systems, Inc.HEAVY.AI, Inc.TmaxSoft
Initial release1997200720162003
Current release10.17.1.0, November 20232.0, September 2019GridGain 8.5.15.10, January 20226, April 2015
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptJava, C++, .NetC++ and CUDAC and Assembler
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
LinuxAIX
HP-UX
Linux
Solaris
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.yesnoyesnoyes
Secondary indexesyestemporal, categoricalyesnoyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsJDBCJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesJavaC#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes (compute grid and cache interceptors can be used instead)noPersistent Stored Procedure (PSM)
Triggersyesnoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingSharding infoRound robinhorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyesno infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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)

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGeoSpockGridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Tibero
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