DBMS > GridGain

GridGain System Properties

Please select another system to compare it with GridGain.

Our visitors often compare GridGain with Redis, Apache Ignite and Hazelcast.

Editorial information provided by DB-Engines

Name

Description

GridGain is an in-memory computing platform, built on Apache Ignite

Primary database model

Columnar
Key-value store
Object oriented DBMS
Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.30
Rank	#156	Overall
	#1	Columnar
	#27	Key-value stores
	#2	Object oriented DBMS
	#69	Relational DBMS

Website

www.gridgain.com

Technical documentation

www.gridgain.com/docs/index.html

Developer

GridGain Systems, Inc.

Initial release

2007

Current release

GridGain 8.5.1

License

Commercial or Open Source

commercial, open source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, C++, .Net, Python, REST, SQL

Server operating systems

Linux
OS X
Solaris
Windows
z/OS

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

ANSI-99 for query and DML statements, subset of DDL

APIs and other access methods

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

yes (compute grid and cache interceptors can be used instead)

Triggers

yes (cache interceptors and events)

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Role-based access control
Security Hooks for custom implementations

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

GridGain Appoints Mark Lockareff as President and CEO Amid Strong Company Momentum
22 January 2025, PR Newswire

GridGain Names Jim LoDestro as Chief Revenue Officer
22 May 2025, PR Newswire

Storage news ticker – February 7
7 February 2025, Blocks and Files

Analytics and Data Science News for the Week of May 16; Updates from Alteryx, Databricks, Qlik & More
16 May 2025, solutionsreview.com

GridGain Names Katherine Barnhisel Rincon as Chief Marketing Officer
20 December 2022, GlobeNewswire

provided by Google News

Share this page