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DBMS > AgensGraph vs. Microsoft Azure AI Search vs. Sphinx vs. Vitess

System Properties Comparison AgensGraph vs. Microsoft Azure AI Search vs. Sphinx vs. Vitess

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMS
Relational DBMS
Search engineSearch engineRelational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score5.97
Rank#56  Overall
#5  Search engines
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitebitnine.net/­agensgraphazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comvitess.io
Technical documentationbitnine.net/­documentationlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsvitess.io/­docs
DeveloperBitnine Global Inc.MicrosoftSphinx Technologies Inc.The Linux Foundation, PlanetScale
Initial release2016201520012013
Current release2.1, December 2018V13.5.1, February 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Go
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnoSQL-like query language (SphinxQL)yes infowith proprietary extensions
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIProprietary protocolADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
Java
JavaScript
Python
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnonoyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes 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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
AgensGraphMicrosoft Azure AI SearchSphinxVitess
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