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DBMS > GridGain vs. ObjectBox vs. Sphinx vs. STSdb

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteExtremely fast embedded database for small devices, IoT and MobileOpen 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
Object oriented DBMSSearch engineKey-value store
Secondary database modelsTime Series DBMS
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
Score1.54
Rank#157  Overall
#6  Object oriented DBMS
Score6.74
Rank#61  Overall
#8  Search engines
Score0.15
Rank#345  Overall
#50  Key-value stores
Websitewww.gridgain.comobjectbox.iosphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.gridgain.com/­docs/­latestdocs.objectbox.iosphinxsearch.com/­docs
DeveloperGridGain Systems, Inc.ObjectBox LimitedSphinx Technologies Inc.STS Soft SC
Initial release2007201720012011
Current releaseGridGain 8.5.13.4.1, July 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open 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++, .NetC and C++C++C#
Server operating systemsLinux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes 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 indexesyesyesyes 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
Proprietary native APIProprietary protocol.NET Client API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
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 nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)online/offline synchronization between client and servernonenone
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
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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 implementationsyesnono
More information provided by the system vendor
GridGainObjectBoxSphinxSTSdb
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DB-Engines blog posts

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Recent citations in the news

GridGain Named to Silicon Valley Business Journal and San Francisco Business Times Fastest-Growing Private Companies Lists
17 November 2022, GlobeNewswire

GridGain Releases Full Conference Schedule for 2022 Ignite Summit Europe
2 November 2022, GlobeNewswire

GridGain, Apache Ignite founder talks in-memory databases
11 August 2022, TechTarget

GridGain Continues Strong Momentum in 2021, Has Record Revenue Year
22 February 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

provided by Google News

Munich-founded database startup ObjectBox raises $2 million
3 December 2018, Tech.eu

Why we need an edge data architecture to digitize the world — sustainably
15 October 2022, VentureBeat

provided by Google News

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