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DBMS > Sphinx vs. Weaviate

System Properties Comparison Sphinx vs. Weaviate

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Our visitors often compare Sphinx and Weaviate with Elasticsearch, PostgreSQL and Solr.

Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.00
Rank#52  Overall
#5  Search engines
Score0.20
Rank#292  Overall
#15  Search engines
Websitesphinxsearch.comgithub.com/­semi-technologies/­weaviate
www.semi.technology/­solutions/­weaviate
Technical documentationsphinxsearch.com/­docswww.semi.technology/­developers/­weaviate/­current
DeveloperSphinx Technologies Inc.SeMI Technologies B.V.
Initial release20012017
Current release3.4.1, July 20211.0.3, January 2021
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 infofull-text index on all search fieldsyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language (SphinxQL)GraphQL is used as query language
APIs and other access methodsProprietary protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
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 persistentyes 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.no
User concepts infoAccess controlnoOpenID Connect Discovery
More information provided by the system vendor
SphinxWeaviate
News

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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More resources
SphinxWeaviate
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