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DBMS > Ignite vs. Realm vs. Sphinx

System Properties Comparison Ignite vs. Realm vs. Sphinx

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Relational DBMS
Document storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.94
Rank#72  Overall
#9  Key-value stores
#39  Relational DBMS
Score8.71
Rank#51  Overall
#10  Document stores
Score6.74
Rank#61  Overall
#8  Search engines
Websiteignite.apache.orgrealm.iosphinxsearch.com
Technical documentationapacheignite.readme.io/­docsrealm.io/­docssphinxsearch.com/­docs
DeveloperApache Software FoundationRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.
Initial release201520142001
Current releaseApache Ignite 2.63.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++
Server operating systemsLinux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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 fields
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (SphinxQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes (cache interceptors and events)yes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlSecurity Hooks for custom implementationsyesno

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More resources
IgniteRealmSphinx
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Recent citations in the news

Introducing Apache Ignite, an open source dark horse…
18 July 2022, The Stack

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

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 Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

provided by Google News

Realm Makes PostgreSQL Real-Time with New Connector
21 March 2017, Database Trends and Applications

provided by Google News

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