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DBMS > Apache Pinot vs. GBase vs. Greenplum

System Properties Comparison Apache Pinot vs. GBase vs. Greenplum

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGBase  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn analytical database for business intelligence with large customers in China.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.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#252  Overall
#115  Relational DBMS
Score1.36
Rank#197  Overall
#94  Relational DBMS
Score10.64
Rank#48  Overall
#30  Relational DBMS
Websitepinot.apache.orgwww.gbase8a.comgreenplum.org
Technical documentationdocs.pinot.apache.orgdocs.greenplum.org
DeveloperApache Software Foundation and contributorsPivotal Software Inc.
Initial release20152005
Current release0.11.0, September 2022GBase 8a6.7.1, April 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yes infosince Version 4.2
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsJDBCJDBC
ODBC
Supported programming languagesGo
Java
Python
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Apache PinotGBaseGreenplum
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