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DBMS > AgensGraph vs. EXASOL vs. PostgreSQL

System Properties Comparison AgensGraph vs. EXASOL vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEXASOL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
Relational DBMS
Relational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#322  Overall
#31  Graph DBMS
#133  Relational DBMS
Score3.09
Rank#92  Overall
#45  Relational DBMS
Score527.00
Rank#4  Overall
#4  Relational DBMS
Websitebitnine.netwww.exasol.com/­en/­productswww.postgresql.org
Technical documentationbitnine.net/­documentationwww.exasol.com/­en/­community/­resourceswww.postgresql.org/­docs/­manuals
DeveloperBitnine Global Inc.ExasolPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201620001989 info1989: Postgres, 1996: PostgreSQL
Current release2.1, December 201812.3, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoBSD
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.
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageCC
Server operating systemsLinux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemedepending on used data modelyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infostandard with numerous extensions
APIs and other access methodsCypher Query Language
JDBC
.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
Java
Lua
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
AgensGraphEXASOLPostgreSQL
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Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

Recent citations in the news

Bitnine Looks to Scale PostgreSQL
30 June 2020, Datanami

Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
29 January 2019, Business Wire

Global Graph Database Market 2020 – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
29 June 2020, Bandera County Courier

Graph DBMS Performance Comparison AgensGraph vs. Neo4j
29 June 2017, Business Wire

Exclusive Interview: Bitnine CEO Cheolsun Kang Announces the Release of AgensGraph v1.1, the Hybrid DBMS
20 April 2017, Business Wire

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1 July 2020, Cole of Duty

Main Memory Database System Market Strong Development By Competitors, Global Analysis And Forecasts To 2025 Involving Top Competitors-SAP, MenSQL, EXASOL, Oracle, ENEA
30 June 2020, Galus Australis

GLOBAL IN-MEMORY OLAP DATABASE MARKET 2020 BY MANUFACTURERS, COUNTRIES, TYPE AND APPLICATION, FORECAST TO 2023
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