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DBMS > GeoSpock vs. Greenplum vs. H2 vs. H2GIS vs. PouchDB

System Properties Comparison GeoSpock vs. Greenplum vs. H2 vs. H2GIS vs. PouchDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonH2  Xexclude from comparisonH2GIS  Xexclude from comparisonPouchDB  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Spatial extension of H2JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSSpatial DBMSDocument store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitegeospock.comgreenplum.orgwww.h2database.comwww.h2gis.orgpouchdb.com
Technical documentationdocs.greenplum.orgwww.h2database.com/­html/­main.htmlwww.h2gis.org/­docs/­homepouchdb.com/­guides
DeveloperGeoSpockPivotal Software Inc.Thomas MuellerCNRSApache Software Foundation
Initial release2005200520132012
Current release2.0, September 20197.0.0, September 20232.2.220, July 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoLGPL 3.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaJavaJavaScript
Server operating systemshostedLinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 4.2nonono
Secondary indexestemporal, categoricalyesyesyesyes infovia views
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesyesno
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
Java
Perl
Python
R
JavaJavaJavaScript
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsyes infobased on H2View functions in JavaScript
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonenoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infobased on H2Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
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-standardyes infobased on H2no

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More resources
GeoSpockGreenplumH2H2GISPouchDB
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