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DBMS > GridGain vs. JaguarDB vs. Microsoft SQL Server

System Properties Comparison GridGain vs. JaguarDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsMicrosofts flagship relational DBMS
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#125  Overall
#25  Key-value stores
#61  Relational DBMS
Score0.04
Rank#339  Overall
#51  Key-value stores
Score944.96
Rank#3  Overall
#3  Relational DBMS
Websitewww.gridgain.comwww.datajaguar.comwww.microsoft.com/­en-us/­sql-server
Technical documentationwww.gridgain.com/­docs/­latestwww.datajaguar.com/­support.phpdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperGridGain Systems, Inc.DataJaguar, Inc.Microsoft
Initial release200720151989
Current releaseGridGain 8.5.12.9.4 September 2018SQL Server 2019, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercial inforestricted free version is available
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++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationyes, but depending on the SQL-Server Edition
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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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 implementationsrights management via user accountsfine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
GridGainJaguarDBMicrosoft SQL Server
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