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DBMS > GridGain vs. PostgreSQL

System Properties Comparison GridGain vs. PostgreSQL

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Our visitors often compare GridGain and PostgreSQL with Ignite, MemSQL and Redis.

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value store
Relational DBMS
Relational 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
Score1.72
Rank#123  Overall
#22  Key-value stores
#60  Relational DBMS
Score491.07
Rank#4  Overall
#4  Relational DBMS
Websitewww.gridgain.comwww.postgresql.org
Technical documentationwww.gridgain.com/­docs/­latestwww.postgresql.org/­docs/­manuals
DeveloperGridGain Systems, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20071989 info1989: Postgres, 1996: PostgreSQL
Current releaseGridGain 8.5.112.0, October 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • EDB Postgres Cloud Database Service: Postgres cloud database service on AWS with Superuser Access, Unlimited Extensions, Higher Scalability, More Tuning Power and Oracle Compatibility. Try free!
Implementation languageJava, C++, .NetC
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyes
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.yesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infostandard with numerous extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Master-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
GridGainPostgreSQL
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Recent citations in the news

GridGain Experts Help Businesses Harness the Power of In-Memory Computing at Multiple Industry Events
12 November 2019, GlobeNewswire

GridGain for z/OS Expands In-Memory Computing Solution to the Mainframe
11 November 2019, Database Trends and Applications

GridGain Systems Releases GridGain for z/OS, Expanding Its Market-Leading In-Memory Computing Solution to the Mainframe
7 November 2019, Yahoo Finance

GridGain In-Memory Computing Platform Now Available in Microsoft Azure Marketplace
4 November 2019, Yahoo Finance

GridGain Announces Keynote Speakers and Sponsors for Fifth Annual In-Memory Computing Summit North America
30 October 2019, GlobeNewswire

provided by Google News

Crunchy Data And ORock Technologies Partnership Brings Trusted Open Source Cloud Native PostgreSQL To Federal Government
12 November 2019, PRNewswire

PostgreSQL 12 boosts open source database performance
14 October 2019, TechTarget

NoSQL Market 2019 Trend - Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, Oracle Database
12 November 2019, News Adopt

Global Database Software Market Outlook to 2030 - Market Projected to Reach $99.36 Billion by 2022 - ResearchAndMarkets.com
12 November 2019, Odessa American

Greenplum 6 review: Jack of all trades, master of some
7 November 2019, InfoWorld

provided by Google News

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