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DBMS > Sphinx vs. SvectorDB

System Properties Comparison Sphinx vs. SvectorDB

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesServerless cloud-native vector database infoServerless cloud-native vector database
Primary database modelSearch engineVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.79
Rank#56  Overall
#5  Search engines
Score0.00
Rank#382  Overall
#21  Vector DBMS
Websitesphinxsearch.comsvectordb.com
Technical documentationsphinxsearch.com/­docswww.svectordb.com/­docs
DeveloperSphinx Technologies Inc.SvectorDB
Initial release20012023
Current release3.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less
Data schemeyes
Typing infopredefined data types such as float or datenostring, double, vector
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 fields
SQL infoSupport of SQLSQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocolOpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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
User concepts infoAccess controlno

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More resources
SphinxSvectorDB
DB-Engines blog posts

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