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DBMS > GridGain vs. ITTIA vs. searchxml

System Properties Comparison GridGain vs. ITTIA vs. searchxml

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonITTIA  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteEdge Time Series DBMS with Real-Time Stream ProcessingDBMS for structured and unstructured content wrapped with an application server
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSNative XML DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.gridgain.comwww.ittia.comwww.searchxml.net/­category/­products
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.searchxml.net/­support/­handouts
DeveloperGridGain Systems, Inc.ITTIA L.L.C.informationpartners gmbh
Initial release200720072015
Current releaseGridGain 8.5.18.71.0
License infoCommercial or Open Sourcecommercial, open sourcecommercialcommercial
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++, .Net, Python, REST, SQLC and C++C++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
Windows
Windows
Data schemeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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 DDLyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes infoon the application server
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesyes infosychronisation to multiple collections
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 dataACIDyesmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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 controlRole-based access control
Security Hooks for custom implementations
Database file passwordsDomain, group and role-based access control at the document level and for application services

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More resources
GridGainITTIAsearchxml
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