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DBMS > Microsoft Azure AI Search vs. Milvus vs. openGauss vs. Sphinx

System Properties Comparison Microsoft Azure AI Search vs. Milvus vs. openGauss vs. Sphinx

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonMilvus  Xexclude from comparisonopenGauss  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA DBMS designed for efficient storage of vector data and vector similarity searchesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineVector DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteazure.microsoft.com/­en-us/­services/­searchmilvus.iogitee.com/­opengauss
opengauss.org
sphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchmilvus.io/­docs/­overview.mddocs.opengauss.org/­en
gitee.com/­opengauss/­docs
sphinxsearch.com/­docs
DeveloperMicrosoftHuawei and openGauss communitySphinx Technologies Inc.
Initial release2015201920192001
Current releaseV12.3.4, January 20243.0, March 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoC, C++, JavaC++
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesno
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.nonono
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoANSI SQL 2011SQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning (by range, list and hash)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyesno
User concepts infoAccess controlyes infousing Azure authenticationRole based access control and fine grained access rightsAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Microsoft Azure AI SearchMilvusopenGaussSphinx
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Microsoft Azure AI SearchMilvusopenGaussSphinx
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