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DBMS > GridGain vs. Microsoft Azure SQL Database vs. Oracle Rdb

System Properties Comparison GridGain vs. Microsoft Azure SQL Database vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph 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
Score27.89
Rank#25  Overall
#14  Relational DBMS
Score1.00
Rank#150  Overall
#72  Relational DBMS
Websitewww.gridgain.comazure.microsoft.com/­en-us/­services/­sql-databasewww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationwww.gridgain.com/­docs/­latestdocs.microsoft.com/­en-us/­azure/­sql-database
DeveloperGridGain Systems, Inc.MicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release200720101984
Current releaseGridGain 8.5.1V12
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
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
hostedHP 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 DDLyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQL
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes, with always 3 replicas available
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 integritynoyesyes
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.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
GridGainMicrosoft Azure SQL Database infoformerly SQL AzureOracle Rdb
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