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DBMS > HyperSQL vs. Microsoft Azure AI Search vs. Milvus vs. VictoriaMetrics

System Properties Comparison HyperSQL vs. Microsoft Azure AI Search vs. Milvus vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMilvus  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSearch-as-a-service for web and mobile app developmentA DBMS designed for efficient storage of vector data and vector similarity searchesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSSearch engineVector DBMSTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitehsqldb.orgazure.microsoft.com/­en-us/­services/­searchmilvus.iovictoriametrics.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmllearn.microsoft.com/­en-us/­azure/­searchmilvus.io/­docs/­overview.mddocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftVictoriaMetrics
Initial release2001201520192018
Current release2.7.2, June 2023V12.3.4, January 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infobased on BSD licensecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++, GoGo
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnonono
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP APIRESTful HTTP APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C#
Java
JavaScript
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava, SQLnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationRole based access control and fine grained access rights
More information provided by the system vendor
HyperSQL infoalso known as HSQLDBMicrosoft Azure AI SearchMilvusVictoriaMetrics
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
HyperSQL infoalso known as HSQLDBMicrosoft Azure AI SearchMilvusVictoriaMetrics
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Vector databases
2 June 2023, Matthias Gelbmann

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