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DBMS > Greenplum vs. Heroic vs. OpenQM

System Properties Comparison Greenplum vs. Heroic vs. OpenQM

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHeroic  Xexclude from comparisonOpenQM infoalso called QM  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSTime Series DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.96
Rank#42  Overall
#26  Relational DBMS
Score0.21
Rank#290  Overall
#26  Time Series DBMS
Score0.30
Rank#269  Overall
#11  Multivalue DBMS
Websitegreenplum.orgspotify.github.io/­heroic/­#!/­indexwww.openqm.com
Technical documentationdocs.greenplum.orgspotify.github.io/­heroic/­#!/­docs/­overviewwww.openqm.com/­support/­documentation
DeveloperPivotal Software Inc.SpotifyMartin Phillips
Initial release200520141993
Current release6.7.1, April 20203.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPLv2, extended commercial license available
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 languageJava
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyes
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 4.2noyes
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyesnono
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
Java
Perl
Python
R
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresyesnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
GreenplumHeroicOpenQM infoalso called QM
Recent citations in the news

Greenplum 6 ventures outside the analytic box
19 March 2019, ZDNet

Capitalizing on Analytics and AI at Dell Technologies
8 April 2021, CIO

Open Sourced Greenplum Data Warehouse Now on GitHub -- ADTmag
28 October 2015, ADT Magazine

Pivotal Greenplum streamlines big data query optimization
11 March 2016, TechTarget

Big Data = Big Money: EMC Buys Greenplum
6 July 2010, GigaOm

provided by Google News

OpenQM
5 March 2019, International Spectrum Magazine

provided by Google News

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