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Ignite System Properties

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DescriptionApache Ignite is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time
Database modelKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#86  Overall
#15  Key-value stores
Technical documentationapacheignite.readme.io/­docs
DeveloperApache Software Foundation
Initial release2015
Current releaseApache Ignite 1.9
License infoCommercial or Open SourceOpen Source infoApache 2.0
Cloud-based infoOnly available as a cloud serviceno
Implementation languageC++, Java, .Net
Server operating systemsLinux
Data schemeyes
Typing infopredefined data types such as float or dateyes
Secondary indexesyes
SQL infoSupport of (almost entire) SQL standard (DML, DDL and DCL statements)yes
APIs and other access methodsHDFS API
Proprietary protocol
Redis API
Spring Data
Supported programming languagesC#
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
Recent citations in the news

Dynamically Reconfigurable Event Driven Systems at QCon NY
4 July 2017, InfoQ.com

GridGain Continues Strong Momentum in the First Half of 2017 as Demand Surges Over 300% for Its In-Memory ...
13 July 2017, Marketwired (press release)

In-Memory Computing Summit Europe Debuts to Enthusiastic Response
29 June 2017, Marketwired (press release)

GridGain Adds Persistent Store to In-Memory Platform
21 June 2017, Datanami

TYAN Launches Server Platforms Based on Xeon Scalable Processors
11 July 2017, HPCwire (blog)

provided by Google News

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