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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. OpenSearch vs. Realm vs. Sphinx

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. OpenSearch vs. Realm vs. Sphinx

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NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonOpenSearch  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA 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 modelRelational DBMSSearch engineDocument storeSearch engine
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#195  Overall
#91  Relational DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Score7.18
Rank#52  Overall
#8  Document stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlgithub.com/­opensearch-project
opensearch.org
realm.iosphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmopensearch.org/­docs/­latestrealm.io/­docssphinxsearch.com/­docs
DeveloperAlibabaAmazon Web ServicesRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.
Initial release202120142001
Current release2.5.0, January 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMAndroid
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesC#
Java
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
.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 proceduresyesyesno inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesyes infoby using the 'percolation' featureyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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 controlfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLOpenSearchRealmSphinx
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
The OpenSearch Project offers open source software licensed under Apache License...
» more

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Alibaba Cloud AnalyticDB for MySQLOpenSearchRealmSphinx
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