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DBMS > Ignite

Ignite System Properties

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Editorial information provided by DB-Engines
NameIgnite
DescriptionApache Ignite is a strongly consistent and highly available in-memory computing platform with powerful SQL, key-value, compute, machine learning and other processing APIs.
Primary database modelKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.12
Rank#69  Overall
#11  Key-value stores
#37  Relational DBMS
Websiteignite.apache.org
Technical documentationapacheignite.readme.io/­docs
DeveloperApache Software Foundation
Initial release2015
Current releaseApache Ignite 2.1
License infoCommercial or Open SourceOpen Source infoApache 2.0
Cloud-based infoOnly available as a cloud serviceno
Implementation languageC++, Java, .Net
Server operating systemsLinux
OS X
Solaris
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
Secondary indexesyes
SQL infoSupport of SQLyes
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes with compute grid and cache interceptors
Triggersyes, with cache interceptors and events
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesReplicated cache infodata is replicated to all nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSecurity Hooks for custom implementations

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More resources
Ignite
Recent citations in the news

GridGain® Experts Share Tips on Using In-Memory Computing to Make New or Existing Applications 1000x Faster and ...
8 May 2018, GlobeNewswire (press release)

GridGain Experts Share Tips on Using In-Memory Computing to Make New or Existing Applications 1000x Faster and ...
17 May 2018, Embedded Computing Design

In-Memory Computing Summit Europe Announces Full Breakout Session Schedule
3 May 2018, Bobsguide (press release)

Big Data Market 2018: Growing and Moving to the Cloud
23 May 2018, Datamation

Apache Ignite 2.4 announced with ML Grid and Spark DataFrames support
16 March 2018, SDTimes.com

provided by Google News

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