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DBMS > Greenplum vs. H2 vs. Kinetica

System Properties Comparison Greenplum vs. H2 vs. Kinetica

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonH2  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.Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.07
Rank#43  Overall
#27  Relational DBMS
Score9.78
Rank#51  Overall
#31  Relational DBMS
Score0.59
Rank#221  Overall
#105  Relational DBMS
Websitegreenplum.orgwww.h2database.comwww.kinetica.com
Technical documentationdocs.greenplum.orgwww.h2database.com/­html/­main.htmlwww.kinetica.com/­docs
DeveloperPivotal Software Inc.Thomas MuellerKinetica
Initial release200520052012
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)commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemsLinuxAll OS with a Java VMLinux
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.yes infosince Version 4.2nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesSQL-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
JavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
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 databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table level
More information provided by the system vendor
GreenplumH2Kinetica
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GreenplumH2Kinetica
Recent citations in the news

Pivotal Greenplum Analytic Database Adds Multicloud Support
18 September 2017, SDxCentral

Greenplum Announces Greenplum Database 3.3
8 June 2009, PR Web

Pivotal’s Greenplum data warehouse software is now open source
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Has the time finally come for PostgreSQL?
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1 July 2022, Indian Defence News

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Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
6 January 2022, Datanami

Kinetica Now Accessible as a Service on Microsoft Azure
14 October 2021, HPCwire

Global GPU Database Market 2022 – Key Players, Industry Demand, Overview and Supply Chain Analysis, Forecast 2028 – Designer Women
22 June 2022, Designer Women

provided by Google News

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