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DBMS > Greenplum vs. H2GIS vs. PouchDB vs. Yaacomo

System Properties Comparison Greenplum vs. H2GIS vs. PouchDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonH2GIS  Xexclude from comparisonPouchDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic 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.Spatial extension of H2JavaScript DBMS with an API inspired by CouchDBOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSSpatial DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitegreenplum.orgwww.h2gis.orgpouchdb.comyaacomo.com
Technical documentationdocs.greenplum.orgwww.h2gis.org/­docs/­homepouchdb.com/­guides
DeveloperPivotal Software Inc.CNRSApache Software FoundationQ2WEB GmbH
Initial release2005201320122009
Current release7.0.0, September 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoLGPL 3.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScript
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Android
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 4.2nonono
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsJDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
JavaJavaScript
Server-side scripts infoStored proceduresyesyes infobased on H2View functions in JavaScript
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on H2Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infobased on H2nofine grained access rights according to SQL-standard

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More resources
GreenplumH2GISPouchDBYaacomo
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale | Amazon Web Services
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