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

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

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSphinx  Xexclude from comparisonTitan  Xexclude from comparisonXAP  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionScalable in-memory time series database optimized for IoT and Big DataScalable Time Series DBMS based on HBaseOpen source search engine for searching in data from different sources, e.g. relational databasesTitan is a Graph DBMS optimized for distributed clusters.High 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 DBMSTime Series DBMSSearch engineGraph 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
Score0.44
Rank#216  Overall
#11  Time Series DBMS
Score2.00
Rank#108  Overall
#6  Time Series DBMS
Score6.49
Rank#52  Overall
#5  Search engines
Score0.79
Rank#167  Overall
#25  Document stores
#29  Key-value stores
Websitegriddb.netopentsdb.netsphinxsearch.comtitan.thinkaurelius.comwww.gigaspaces.com/­products/­xap
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpopentsdb.net/­docs/­build/­html/­index.htmlsphinxsearch.com/­docsgithub.com/­thinkaurelius/­titan/­wikidocs.gigaspaces.com/­latest/­landing.html
DeveloperToshiba Corporationcurrently maintained by Yahoo and other contributorsSphinx Technologies Inc.Aurelius, owned by DataStaxGigaspaces Technologies
Initial release20132011200120122000
Current release4.2, June 20193.1.1, 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 availableOpen Source infoLGPLOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache license, version 2.0Open 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++JavaC++JavaJava, C++, .Net
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnumeric data for metrics, strings for tagsnoyesyes
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.nonono infoXML can be used for describing objects metadata
Secondary indexesyesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)noSQL-like query language (SphinxQL)noSQL-like query language and DML statements
APIs and other access methodsProprietary protocolHTTP API
Telnet API
Proprietary protocolJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Python
.Net
C++
Java
Server-side scripts infoStored proceduresnononoyesyes
Triggersyesnonoyesyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedyes infovia pluggable storage backendsSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infobased on HBasenoneyesMaster-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 infovia Faunus, a graph analytics engineyes 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 infobased on HBaseEventual Consistency
Immediate Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynononoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenonoUser authentification and security via Rexster Graph ServerRole-based access control
More information provided by the system vendor
GridDBOpenTSDBSphinxTitanXAP
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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More resources
GridDBOpenTSDBSphinxTitanXAP
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