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DBMS > GeoSpock vs. Greenplum vs. MonetDB

System Properties Comparison GeoSpock vs. Greenplum vs. MonetDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonMonetDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.A relational database management system that stores data in columns
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitegeospock.comgreenplum.orgwww.monetdb.org
Technical documentationdocs.greenplum.orgwww.monetdb.org/­Documentation
DeveloperGeoSpockPivotal Software Inc.MonetDB BV
Initial release20052004
Current release2.0, September 20197.0.0, September 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
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.noyes infosince Version 4.2
Secondary indexestemporal, categoricalyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyes infoSQL 2003 with some extensions
APIs and other access methodsJDBCJDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
Java
Perl
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesyes, in SQL, C, R
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardfine grained access rights according to SQL-standard

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More resources
GeoSpockGreenplumMonetDB
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