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DBMS > GBase vs. Greenplum vs. IBM Db2 Event Store

System Properties Comparison GBase vs. Greenplum vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGreenplum  Xexclude from comparisonIBM Db2 Event Store  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.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Secondary database modelsDocument store
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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.gbase.cngreenplum.orgwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.greenplum.orgwww.ibm.com/­docs/­en/­db2-event-store
DeveloperGeneral Data Technology Co., Ltd.Pivotal Software Inc.IBM
Initial release200420052017
Current releaseGBase 8a, GBase 8s, GBase 8c7.0.0, September 20232.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC and C++
Server operating systemsLinuxLinuxLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 4.2no
Secondary indexesyesyesno
SQL infoSupport of SQLStandard with numerous extensionsyesyes infothrough the embedded Spark runtime
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#C
Java
Perl
Python
R
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsyesyes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GBaseGreenplumIBM Db2 Event Store
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