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DBMS > Greenplum vs. Heroic vs. HyperSQL

System Properties Comparison Greenplum vs. Heroic vs. HyperSQL

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHeroic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  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 ElasticSearchMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Websitegreenplum.orggithub.com/­spotify/­heroichsqldb.org
Technical documentationdocs.greenplum.orgspotify.github.io/­heroichsqldb.org/­web/­hsqlDocsFrame.html
DeveloperPivotal Software Inc.Spotify
Initial release200520142001
Current release7.0.0, September 20232.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeyesschema-freeyes
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 indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresyesnoJava, SQL
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
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 integrityyesnoyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GreenplumHeroicHyperSQL infoalso known as HSQLDB
Recent citations in the news

VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale | Amazon Web Services
9 September 2019, AWS Blog

1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book]
6 December 2018, O'Reilly Media

RSA: EMC integrates Hadoop with Greenplum database
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Greenplum 6 ventures outside the analytic box | ZDNET
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24 October 2022, The Daily Swig

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14 November 2022, TheServerSide.com

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