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DBMS > GridGain vs. Sphinx

System Properties Comparison GridGain vs. Sphinx

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.61
Rank#117  Overall
#20  Key-value stores
#60  Relational DBMS
Score7.23
Rank#46  Overall
#5  Search engines
Websitewww.gridgain.comsphinxsearch.com
Technical documentationdocs.gridgain.com/­docssphinxsearch.com/­docs
DeveloperGridGain Systems, Inc.Sphinx Technologies Inc.
Initial release20072001
Current releaseGridGain 8.5.13.1.1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence available
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++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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.yes
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none
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 Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 implementationsno

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GridGainSphinx
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