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DBMS > Greenplum vs. HEAVY.AI vs. Infobright vs. Neo4j vs. PostgreSQL

System Properties Comparison Greenplum vs. HEAVY.AI vs. Infobright vs. Neo4j vs. PostgreSQL

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInfobright  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgreSQL  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMSDocument 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitegreenplum.orggithub.com/­heavyai/­heavydb
www.heavy.ai
ignitetech.com/­softwarelibrary/­infobrightdbneo4j.comwww.postgresql.org
Technical documentationdocs.greenplum.orgdocs.heavy.aineo4j.com/­docswww.postgresql.org/­docs
DeveloperPivotal Software Inc.HEAVY.AI, Inc.Ignite Technologies Inc.; formerly InfoBright Inc.Neo4j, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20052016200520071989 info1989: Postgres, 1996: PostgreSQL
Current release7.0.0, September 20235.10, January 20225.20, May 202416.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoGPL version3, commercial licenses availableOpen Source infoBSD
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 languageC++ and CUDACJava, ScalaC
Server operating systemsLinuxLinuxLinux
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 4.2nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnono infoKnowledge Grid Technology used insteadyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesyesyesnoyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
Perl
Python
R
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnonoyes infoUser defined Procedures and Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnonoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnoneyes using Neo4j Fabricpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
GreenplumHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfobrightNeo4jPostgreSQL
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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