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DBMS > GridGain vs. mSQL vs. OushuDB vs. Quasardb vs. Sphinx

System Properties Comparison GridGain vs. mSQL vs. OushuDB vs. Quasardb vs. Sphinx

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOushuDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgnitemSQL (Mini SQL) is a simple and lightweight RDBMSA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.gridgain.comhughestech.com.au/­products/­msqlwww.oushu.com/­product/­oushuDBquasar.aisphinxsearch.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.oushu.com/­documentationdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperGridGain Systems, Inc.Hughes TechnologiesOushuquasardbSphinx Technologies Inc.
Initial release2007199420092001
Current releaseGridGain 8.5.14.4, October 20214.0.1, August 20203.14.1, January 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetCC++C++
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxBSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryno
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.yesnono
Secondary indexesyesyesyesyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersFull-featured ANSI SQL supportSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
HTTP APIProprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C++
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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)noyesnono
Triggersyes (cache interceptors and events)noyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noHadoop integrationwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes 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.yesnoyes infoTransient mode
User concepts infoAccess controlSecurity Hooks for custom implementationsnoKerberos, SSL and role based accessCryptographically strong user authentication and audit trailno

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More resources
GridGainmSQL infoMini SQLOushuDBQuasardbSphinx
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