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DBMS > Microsoft Azure Search vs. Sphinx vs. TerminusDB

System Properties Comparison Microsoft Azure Search vs. Sphinx vs. TerminusDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Search  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelSearch engineSearch engineGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.70
Rank#56  Overall
#6  Search engines
Score6.47
Rank#59  Overall
#7  Search engines
Score0.09
Rank#306  Overall
#30  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comterminusdb.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsterminusdb.com/­docs
DeveloperMicrosoftSphinx Technologies Inc.DataChemist Ltd.
Initial release201520012018
Current releaseV13.2.1, January 20201.1.1, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Prolog, Rust
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP APIProprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C#
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes infousing Azure authenticationnoRole-based access control

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More resources
Microsoft Azure SearchSphinxTerminusDB infoformer name was DataChemist
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20 November 2019, Siliconrepublic.com

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