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DBMS > GigaSpaces vs. IRONdb vs. openGemini vs. Sphinx vs. Valentina Server

System Properties Comparison GigaSpaces vs. IRONdb vs. openGemini vs. Sphinx vs. Valentina Server

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIRONdb  Xexclude from comparisonopenGemini  Xexclude from comparisonSphinx  Xexclude from comparisonValentina Server  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOpen source search engine for searching in data from different sources, e.g. relational databasesObject-relational database and reports server
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.gigaspaces.comwww.circonus.com/solutions/time-series-database/www.opengemini.org
github.com/­openGemini
sphinxsearch.comwww.valentina-db.net
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.circonus.com/irondb/category/getting-starteddocs.opengemini.org/­guidesphinxsearch.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGigaspaces TechnologiesCirconus LLC.Huawei and openGemini communitySphinx Technologies Inc.Paradigma Software
Initial release20002017202220011999
Current release15.5, September 2020V0.10.20, January 20181.1, July 20233.5.1, February 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++GoC++
Server operating systemsLinux
macOS
Solaris
Windows
LinuxLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsInteger, Float, Boolean, Stringnoyes
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP APIHTTP RESTProprietary protocolODBC
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes, in Luanonoyes
Triggersyes, event driven architecturenononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
configurable replication factor, datacenter awareyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlRole-based access controlnoAdministrators and common users accountsnofine grained access rights according to SQL-standard

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More resources
GigaSpacesIRONdbopenGeminiSphinxValentina Server
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