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DBMS > GeoSpock vs. Greenplum

System Properties Comparison GeoSpock vs. Greenplum

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionSpatial and temporal data processing engine for extreme data scaleAnalytic 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 DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#311  Overall
#141  Relational DBMS
Score10.94
Rank#46  Overall
#29  Relational DBMS
Websitegeospock.comgreenplum.org
Technical documentationdocs.geospock.com/­Content/­Home.htmdocs.greenplum.org
DeveloperGeoSpockPivotal Software Inc.
Initial release2005
Current release2.0, September 20196.7.1, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript
Server operating systemshostedLinux
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.noyes infosince Version 4.2
Secondary indexestemporal, categoricalyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBCJDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
GeoSpockGreenplum
Recent citations in the news

Japanese tech company joins GeoSpock’s new $5.4m round
2 October 2020, Business Weekly

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