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DBMS > GridGain vs. Linter

System Properties Comparison GridGain vs. Linter

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteRDBMS for high security requirements
Primary database modelKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#116  Overall
#21  Key-value stores
#59  Relational DBMS
Score0.03
Rank#339  Overall
#138  Relational DBMS
Websitewww.gridgain.comlinter.ru/­en
Technical documentationdocs.gridgain.com/­docs
DeveloperGridGain Systems, Inc.relex.ru/­en
Initial release20071990
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++
Server operating systemsLinux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
GridGainLinter
Recent citations in the news

GridGain Demonstrates Commitment to In-Memory Computing Thought Leadership, Sharing Knowledge and Insights at Multiple Industry Events
30 July 2019, GlobeNewswire

GridGain In-Memory Computing Platform Continues Strong Momentum in First Half of 2019, Highlighted by a Doubling of Subscription Bookings
23 July 2019, GlobeNewswire

GridGain Offers New Consulting Services Packages for Apache Ignite and GridGain Community Edition
1 August 2019, Yahoo Finance

GridGain Data Lake Accelerator Powers Real-Time Analytics Across Combined Data Lake and Operational Data
12 June 2019, Yahoo Finance

GridGain Unveils Support Offering for Apache Ignite
5 February 2019, GlobeNewswire

provided by Google News

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