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DBMS > GridGain vs. Ignite vs. Oracle Rdb

System Properties Comparison GridGain vs. Ignite vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIgnite  Xexclude from comparisonOracle Rdb  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.
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.60
Rank#124  Overall
#22  Key-value stores
#61  Relational DBMS
Score4.94
Rank#62  Overall
#10  Key-value stores
#35  Relational DBMS
Score1.00
Rank#150  Overall
#72  Relational DBMS
Websitewww.gridgain.comignite.apache.orgwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationwww.gridgain.com/­docs/­latestapacheignite.readme.io/­docs
DeveloperGridGain Systems, Inc.Apache Software FoundationOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release200720151984
Current releaseGridGain 8.5.1Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
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
HP Open VMS
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
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 DDLyes
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
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes (compute grid and cache interceptors can be used instead)
Triggersyes (cache interceptors and events)yes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes (replicated cache)
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsSecurity Hooks for custom implementations

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More resources
GridGainIgniteOracle Rdb
Recent citations in the news

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

GridGain Experts Help Businesses Harness the Power of In-Memory Computing at Multiple Industry Events
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GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, Yahoo Finance

In-Memory Computing Summit North America 2019 Demonstrates How Companies Are Using In-Memory Computing to Successfully Address Digital Transformation
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GridGain Systems Releases GridGain for z/OS, Expanding Its Market-Leading In-Memory Computing Solution to the Mainframe
7 November 2019, Yahoo Finance

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GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, GlobeNewswire

In-Memory Computing Summit North America 2019 Demonstrates How Companies Are Using In-Memory Computing to Successfully Address Digital Transformation
25 November 2019, GlobeNewswire

GridGain Experts Help Businesses Harness the Power of In-Memory Computing at Multiple Industry Events
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