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DBMS > GridGain vs. Oracle Rdb vs. SiriDB

System Properties Comparison GridGain vs. Oracle Rdb vs. SiriDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen Source Time Series DBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.16
Rank#116  Overall
#23  Key-value stores
#56  Relational DBMS
Score1.34
Rank#143  Overall
#71  Relational DBMS
Score0.05
Rank#320  Overall
#29  Time Series DBMS
Websitewww.gridgain.comwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.htmlsiridb.net
Technical documentationwww.gridgain.com/­docs/­latestdocs.siridb.net
DeveloperGridGain Systems, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Transceptor Technology
Initial release200719842017
Current releaseGridGain 8.5.17.3.3.2.0, 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT License
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
Server operating systemsLinux
OS X
Solaris
Windows
HP Open VMSLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric data
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno
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.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationssimple rights management via user accounts

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More resources
GridGainOracle RdbSiriDB
Recent citations in the news

GridGain Experts Share In-Memory Computing Strategies, Provide Practical Advice at Worldwide Virtual Events
16 June 2020, GlobeNewswire

Call For Papers Now Open For In-Memory Computing Summit 2020 Virtual Worldwide Conference
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Global In-Memory Grid Market 2020 Top Companies – IBM Corporation, GridGain Systems, Hazelcast Inc., Pivotal Software Inc., Hitachi Ltd.
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GridGain Experts Share In-Memory Computing Strategies, Offer Practical Advice at Virtual Events Around the World
1 April 2020, GlobeNewswire

In-Memory Data Grid Market 2020 Size, Forecast 2027, Major Players – Hazelcast, Gridgain Systems, Gigaspaces, Hitachi, Pivotal, etc.
7 July 2020, Jewish Life News

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12 November 2013, PR Web

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30 May 2018, Dice Insights

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2 October 2009, Nuclear Power Portal

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Transceptor Technology Open Sources the Time Series Database SiriDB
1 February 2017, PR Newswire

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