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DBMS > GridDB vs. GridGain vs. OpenTSDB vs. Sphinx vs. XAP

System Properties Comparison GridDB vs. GridGain vs. OpenTSDB vs. Sphinx vs. XAP

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonGridGain  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSphinx  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataGridGain is an in-memory computing platform, built on Apache IgniteScalable Time Series DBMS based on HBaseOpen source search engine for searching in data from different sources, e.g. relational databasesHigh 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 DBMSKey-value store
Relational DBMS
Time Series DBMSSearch engineDocument 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
Score0.45
Rank#216  Overall
#11  Time Series DBMS
Score1.73
Rank#122  Overall
#21  Key-value stores
#59  Relational DBMS
Score1.99
Rank#111  Overall
#6  Time Series DBMS
Score6.69
Rank#51  Overall
#5  Search engines
Score0.82
Rank#164  Overall
#25  Document stores
#30  Key-value stores
Websitegriddb.netwww.gridgain.comopentsdb.netsphinxsearch.comwww.gigaspaces.com/­products/­xap
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpwww.gridgain.com/­docs/­latestopentsdb.net/­docs/­build/­html/­index.htmlsphinxsearch.com/­docsdocs.gigaspaces.com/­latest/­landing.html
DeveloperToshiba CorporationGridGain Systems, Inc.currently maintained by Yahoo and other contributorsSphinx Technologies Inc.Gigaspaces Technologies
Initial release20132007201120012000
Current release4.2, June 2019GridGain 8.5.13.1.1, October 201814.5.0, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoLGPLOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2; Commercial licenses available
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 languageC++Java, C++, .NetJavaC++Java, C++, .Net
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesnumeric data for metrics, strings for tagsnoyes
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.noyesnono infoXML can be used for describing objects metadata
Secondary indexesyesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (SphinxQL)SQL-like query language and DML statements
APIs and other access methodsProprietary protocolHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Telnet API
Proprietary protocolGigaSpaces 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#
C++
Java
PHP
Python
Ruby
Scala
Erlang
Go
Java
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C++
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nonoyes
Triggersyesyes (cache interceptors and events)nonoyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes (replicated cache)selectable replication factor infobased on HBasenoneMaster-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 jobsyes (compute grid and hadoop accelerator)nonoyes 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 ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseSecurity Hooks for custom implementationsnonoRole-based access control
More information provided by the system vendor
GridDBGridGainOpenTSDBSphinxXAP
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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GridDBGridGainOpenTSDBSphinxXAP
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