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DBMS > Milvus vs. ObjectBox vs. Quasardb vs. Valentina Server vs. VictoriaMetrics

System Properties Comparison Milvus vs. ObjectBox vs. Quasardb vs. Valentina Server vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonObjectBox  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesExtremely fast embedded database for small devices, IoT and MobileDistributed, high-performance timeseries databaseObject-relational database and reports serverA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelVector DBMSObject oriented DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitemilvus.ioobjectbox.ioquasar.aiwww.valentina-db.netvictoriametrics.com
Technical documentationmilvus.io/­docs/­overview.mddocs.objectbox.iodoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperObjectBox LimitedquasardbParadigma SoftwareVictoriaMetrics
Initial release20192017200919992018
Current release2.4.4, May 20243.14.1, January 20245.7.5v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 and C++C++Go
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
iOS
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes infointeger and binaryyes
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 indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIProprietary native APIHTTP APIODBCGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverSource-replica replication with selectable replication factorSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyesno
User concepts infoAccess controlRole based access control and fine grained access rightsyesCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
MilvusObjectBoxQuasardbValentina ServerVictoriaMetrics
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
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