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DBMS > OpenSearch vs. Qdrant vs. Sphinx

System Properties Comparison OpenSearch vs. Qdrant vs. Sphinx

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Editorial information provided by DB-Engines
NameOpenSearch  Xexclude from comparisonQdrant  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA vector similarity Search Engine with neural network or semantic based matchingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.44
Rank#48  Overall
#4  Search engines
Score0.10
Rank#366  Overall
#24  Search engines
Score6.93
Rank#59  Overall
#7  Search engines
Websitegithub.com/­opensearch-project
opensearch.org
github.com/­qdrant/­qdrant
qdrant.tech
sphinxsearch.com
Technical documentationopensearch.org/­docs/­latestqdrant.tech/­documentationsphinxsearch.com/­docs
DeveloperAmazon Web ServicesQdrantSphinx Technologies Inc.
Initial release202120212001
Current release2.2.0, August 20223.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
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 including search engine, NoSQL document database, and visualization interface.
Implementation languageJavaRustC++
Server operating systemsAll OS with a Java VMDockerFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
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.no
Secondary indexesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP/JSON API infoOpenAPI 3.0Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
PythonC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesno
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlno

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Related products and services
3rd partiesAiven for OpenSearch comes with OpenSearch Dashboards included, giving a fully-featured user interface and visualization platform for your data.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
OpenSearchQdrantSphinx
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