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DBMS > GridDB vs. Sphinx vs. Valentina Server vs. XAP

System Properties Comparison GridDB vs. Sphinx vs. Valentina Server vs. XAP

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonSphinx  Xexclude from comparisonValentina Server  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataOpen source search engine for searching in data from different sources, e.g. relational databasesObject-relational database and reports serverHigh performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelTime Series DBMSSearch engineRelational DBMSDocument store
Key-value store infoValues are user defined objects
Secondary database modelsKey-value store
Relational DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#204  Overall
#11  Time Series DBMS
Score6.52
Rank#53  Overall
#5  Search engines
Score0.21
Rank#254  Overall
#119  Relational DBMS
Score0.80
Rank#167  Overall
#26  Document stores
#30  Key-value stores
Websitegriddb.netsphinxsearch.comwww.valentina-db.netwww.gigaspaces.com/­products/­xap
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpsphinxsearch.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpdocs.gigaspaces.com/­latest/­landing.html
DeveloperToshiba CorporationSphinx Technologies Inc.Paradigma SoftwareGigaspaces Technologies
Initial release2013200119992000
Current release4.2, June 20193.1.1, October 20185.7.514.5.0, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java, C++, .Net
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnoyesyes
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.nono infoXML can be used for describing objects metadata
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)SQL-like query language (SphinxQL)yesSQL-like query language and DML statements
APIs and other access methodsProprietary protocolProprietary protocolODBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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
.Net
C++
Java
Server-side scripts infoStored proceduresnonoyesyes
Triggersyesnoyesyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneMaster-master replication infosynchronous or asynchronous
Master-slave replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasenofine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
GridDBSphinxValentina ServerXAP
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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GridDBSphinxValentina ServerXAP
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