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DBMS > Greenplum vs. H2 vs. H2GIS vs. Kinetica

System Properties Comparison Greenplum vs. H2 vs. H2GIS vs. Kinetica

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonH2  Xexclude from comparisonH2GIS  Xexclude from comparisonKinetica  Xexclude from comparison
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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Spatial extension of H2Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.36
Rank#44  Overall
#28  Relational DBMS
Score9.83
Rank#51  Overall
#31  Relational DBMS
Score0.03
Rank#335  Overall
#4  Spatial DBMS
Score0.66
Rank#212  Overall
#103  Relational DBMS
Websitegreenplum.orgwww.h2database.comwww.h2gis.orgwww.kinetica.com
Technical documentationdocs.greenplum.orgwww.h2database.com/­html/­main.htmlwww.h2gis.org/­docs/­homewww.kinetica.com/­docs
DeveloperPivotal Software Inc.Thomas MuellerCNRSKinetica
Initial release2005200520132012
Current release6.7.1, April 20202.1.210, January 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoLGPL 3.0commercial
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 languageJavaJavaC, C++
Server operating systemsLinuxAll OS with a Java VMLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesyesyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
JavaJavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsyes infobased on H2user defined functions
Triggersyesyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
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 H2Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, 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.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infobased on H2Access rights for users and roles on table level
More information provided by the system vendor
GreenplumH2H2GISKinetica
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
GreenplumH2H2GISKinetica
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