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DBMS > GridGain vs. Ignite vs. Realm

System Properties Comparison GridGain vs. Ignite vs. Realm

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIgnite  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Websitewww.gridgain.comignite.apache.orgrealm.io
Technical documentationwww.gridgain.com/­docs/­index.htmlapacheignite.readme.io/­docsrealm.io/­docs
DeveloperGridGain Systems, Inc.Apache Software FoundationRealm, acquired by MongoDB in May 2019
Initial release200720152014
Current releaseGridGain 8.5.1Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source
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.
Implementation languageJava, C++, .NetC++, Java, .Net
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyes
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.yesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes (compute grid and cache interceptors can be used instead)no inforuns within the applications so server-side scripts are unnecessary
Triggersyes (cache interceptors and events)yes (cache interceptors and events)yes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyesyes infoIn-Memory realm
User concepts infoAccess controlSecurity Hooks for custom implementationsSecurity Hooks for custom implementationsyes

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More resources
GridGainIgniteRealm
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