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DBMS > Ignite vs. RethinkDB vs. Sphinx vs. SwayDB

System Properties Comparison Ignite vs. RethinkDB vs. Sphinx vs. SwayDB

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonRethinkDB  Xexclude from comparisonSphinx  Xexclude from comparisonSwayDB  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.DBMS for the Web with a mechanism to push updated query results to applications in realtime.Open source search engine for searching in data from different sources, e.g. relational databasesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value store
Relational DBMS
Document storeSearch engineKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score2.81
Rank#110  Overall
#20  Document stores
Score6.06
Rank#61  Overall
#6  Search engines
Score0.03
Rank#385  Overall
#60  Key-value stores
Websiteignite.apache.orgrethinkdb.comsphinxsearch.comswaydb.simer.au
Technical documentationapacheignite.readme.io/­docsrethinkdb.com/­docssphinxsearch.com/­docs
DeveloperApache Software FoundationThe Linux Foundation infosince July 2017Sphinx Technologies Inc.Simer Plaha
Initial release2015200920012018
Current releaseApache Ignite 2.62.4.1, August 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++C++Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometrynono
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.yesnono
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 protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)Client-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
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.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infousers and table-level permissionsnono

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IgniteRethinkDBSphinxSwayDB
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