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DBMS > GridGain vs. OpenTSDB vs. Sphinx vs. STSdb

System Properties Comparison GridGain vs. OpenTSDB vs. Sphinx vs. STSdb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGridGain 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 databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value store
Relational DBMS
Time Series DBMSSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.38
Rank#124  Overall
#24  Key-value stores
#61  Relational DBMS
Score2.39
Rank#123  Overall
#7  Time Series DBMS
Score6.74
Rank#61  Overall
#8  Search engines
Score0.15
Rank#345  Overall
#50  Key-value stores
Websitewww.gridgain.comopentsdb.netsphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.gridgain.com/­docs/­latestopentsdb.net/­docs/­build/­html/­index.htmlsphinxsearch.com/­docs
DeveloperGridGain Systems, Inc.currently maintained by Yahoo and other contributorsSphinx Technologies Inc.STS Soft SC
Initial release2007201120012011
Current releaseGridGain 8.5.13.4.1, July 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoLGPLOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license 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 languageJava, C++, .NetJavaC++C#
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsnoyes infoprimitive types and user defined types (classes)
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.yesno
Secondary indexesyesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (SphinxQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Telnet API
Proprietary protocol.NET Client API
Supported programming languagesC#
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
C#
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on HBasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
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 persistentyesyesyes 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.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsnonono

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More resources
GridGainOpenTSDBSphinxSTSdb
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17 November 2022, GlobeNewswire

In-Memory Data Grid Market Technological Advancements in 2022 | Companies : IBM (US), Oracle (US), Red Hat (US), Software AG (Germany), Pivotal (US), Hitachi (Japan), Hazelcast (US), TIBCO (US), GridGain (US), ScaleOut Software (US), GigaSpaces (U
6 December 2022, Digital Journal

GridGain, Apache Ignite founder talks in-memory databases
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