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DBMS > GridGain vs. MySQL vs. Oracle Rdb

System Properties Comparison GridGain vs. MySQL vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMySQL  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteWidely used open source RDBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
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
Score1275.67
Rank#2  Overall
#2  Relational DBMS
Score1.00
Rank#150  Overall
#72  Relational DBMS
Websitewww.gridgain.comwww.mysql.comwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationwww.gridgain.com/­docs/­latestdev.mysql.com/­doc
DeveloperGridGain Systems, Inc.Oracle infosince 2010, originally MySQL AB, then SunOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release200719951984
Current releaseGridGain 8.5.18.0.18, October 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
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.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageJava, C++, .NetC and C++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
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 DDLyes infowith proprietary extensionsyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Master-master replication
Master-slave replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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 implementationsUsers with fine-grained authorization concept infono user groups or roles

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Recent citations in the news

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

GridGain Experts Help Businesses Harness the Power of In-Memory Computing at Multiple Industry Events
12 November 2019, GlobeNewswire

GridGain and Azul Systems Collaborate to Enable Java for Very Low-Latency Use Cases at Massive Scale
14 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: Product Overview and Analysis
5 June 2019, eWeek

provided by Google News

Laravel and MySQL 8: Fixing MySQL Server Has Gone Away Error
6 December 2019, Laravel News

Experts Talk Specialized Solutions for MySQL
2 December 2019, Database Trends and Applications

Query Performance Optimization in MySQL
2 December 2019, Database Journal

Understanding Schema Optimization in MySQL
11 November 2019, Database Journal

Alliance Key Manager Now Supports Encryption Key Management for MySQL Enterprise Edition Database
19 November 2019, Benzinga

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Database Types from Hierarchical to Graph: An Industry Breakdown
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