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DBMS > BigObject vs. OpenSearch vs. Realm vs. Sphinx

System Properties Comparison BigObject vs. OpenSearch vs. Realm vs. Sphinx

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonOpenSearch  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA 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 DBMS infoa hierachical model (tree) can be imposedSearch engineDocument storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score16.36
Rank#37  Overall
#4  Search engines
Score7.60
Rank#52  Overall
#9  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitebigobject.iogithub.com/­opensearch-project
opensearch.org
realm.iosphinxsearch.com
Technical documentationdocs.bigobject.ioopensearch.org/­docs/­latestrealm.io/­docssphinxsearch.com/­docs
DeveloperBigObject, Inc.Amazon Web ServicesRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.
Initial release2015202120142001
Current release2.5.0, January 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2, commercial licence 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.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
  • 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 systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All 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.nono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesGo
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 proceduresLuayesno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyes infoby using the 'percolation' featureyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual 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 integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
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 controlnoyesno
More information provided by the system vendor
BigObjectOpenSearchRealmSphinx
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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3rd partiesAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

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More resources
BigObjectOpenSearchRealmSphinx
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