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DBMS > Fauna vs. Qdrant vs. Sphinx

System Properties Comparison Fauna vs. Qdrant vs. Sphinx

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonQdrant  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A high-performance vector database with neural network or semantic-based matchingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Vector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#154  Overall
#26  Document stores
#14  Graph DBMS
#72  Relational DBMS
#13  Time Series DBMS
Score1.23
Rank#171  Overall
#6  Vector DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitefauna.comgithub.com/­qdrant/­qdrant
qdrant.tech
sphinxsearch.com
Technical documentationdocs.fauna.comqdrant.tech/­documentationsphinxsearch.com/­docs
DeveloperFauna, Inc.QdrantSphinx Technologies Inc.
Initial release201420212001
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaRustC++
Server operating systemshostedDocker
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoNumbers, Strings, Geo, Booleanno
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 infoKeywords, numberic ranges, geo, full-textyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyes
User concepts infoAccess controlIdentity management, authentication, and access controlKey-based authenticationno

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Fauna infopreviously named FaunaDBQdrantSphinx
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