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DBMS > GeoSpock vs. Greenplum vs. H2 vs. Riak KV

System Properties Comparison GeoSpock vs. Greenplum vs. H2 vs. Riak KV

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonH2  Xexclude from comparisonRiak KV  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.Distributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Spatial 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
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitegeospock.comgreenplum.orgwww.h2database.com
Technical documentationdocs.greenplum.orgwww.h2database.com/­html/­main.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGeoSpockPivotal Software Inc.Thomas MuellerOpenSource, formerly Basho Technologies
Initial release200520052009
Current release2.0, September 20197.0.0, September 20232.2.220, July 20233.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaErlang
Server operating systemshostedLinuxAll OS with a Java VMLinux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 4.2nono
Secondary indexestemporal, categoricalyesyesrestricted
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesno
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
Java
Perl
Python
R
JavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined FunctionsErlang
Triggersnoyesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding infono "single point of failure"
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 databaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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, using Riak Security

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More resources
GeoSpockGreenplumH2Riak KV
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