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DBMS > GBase vs. Greenplum vs. GridDB vs. H2

System Properties Comparison GBase vs. Greenplum vs. GridDB vs. H2

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGreenplum  Xexclude from comparisonGridDB  Xexclude from comparisonH2  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Scalable in-memory time series database optimized for IoT and Big DataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitewww.gbase.cngreenplum.orggriddb.netwww.h2database.com
Technical documentationdocs.greenplum.orgdocs.griddb.netwww.h2database.com/­html/­main.html
DeveloperGeneral Data Technology Co., Ltd.Pivotal Software Inc.Toshiba CorporationThomas Mueller
Initial release2004200520132005
Current releaseGBase 8a, GBase 8s, GBase 8c7.0.0, September 20235.1, August 20222.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++Java
Server operating systemsLinuxLinuxLinuxAll OS with a Java VM
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.yesyes infosince Version 4.2nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLStandard with numerous extensionsyesSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC#C
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functionsyesnoJava Stored Procedures and User-Defined Functions
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
GBaseGreenplumGridDBH2
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GBaseGreenplumGridDBH2
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