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DBMS > Greenplum vs. Heroic vs. Ingres vs. PostgreSQL vs. Prometheus

System Properties Comparison Greenplum vs. Heroic vs. Ingres vs. PostgreSQL vs. Prometheus

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHeroic  Xexclude from comparisonIngres  Xexclude from comparisonPostgreSQL  Xexclude from comparisonPrometheus  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 ElasticSearchWell established RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitegreenplum.orggithub.com/­spotify/­heroicwww.actian.com/­databases/­ingreswww.postgresql.orgprometheus.io
Technical documentationdocs.greenplum.orgspotify.github.io/­heroicdocs.actian.com/­ingreswww.postgresql.org/­docsprometheus.io/­docs
DeveloperPivotal Software Inc.SpotifyActian CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release200520141974 infooriginally developed at University Berkely in early 1970s1989 info1989: Postgres, 1996: PostgreSQL2015
Current release7.0.0, September 202311.2, May 202216.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaCCGo
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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 infobut tools for importing/exporting data from/to XML-files availableyes infospecific XML-type available, but no XML query functionality.no infoImport of XML data possible
Secondary indexesyesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLyesnoyesyes infostandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languagesC
Java
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslypartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesIngres ReplicatorSource-replica replication infoother methods possible by using 3rd party extensionsyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

More information provided by the system vendor

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3rd partiesNavicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems.
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Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
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pgDash: In-Depth PostgreSQL Monitoring.
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CYBERTEC is your professional partner in PostgreSQL topics for over 20 years. As our main aim is to be your single-source all-in-one IT service provider, we offer a wide range of products and services. Visit our website for more details.
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Redgate webinars: A series of key topics for new PostgreSQL users.
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Instaclustr: Fully Hosted & Managed PostgreSQL
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GreenplumHeroicIngresPostgreSQLPrometheus
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Conferences, events and webinars

Monitoring PostgreSQL with Redgate Monitor
Webinar, 10-11am CT / 4-5pm BST, 22 May 2024 (finished)

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