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DBMS > Milvus vs. NSDb vs. Prometheus vs. Quasardb

System Properties Comparison Milvus vs. NSDb vs. Prometheus vs. Quasardb

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonNSDb  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelVector DBMSTime Series DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitemilvus.ionsdb.ioprometheus.ioquasar.ai
Technical documentationmilvus.io/­docs/­overview.mdnsdb.io/­Architectureprometheus.io/­docsdoc.quasar.ai/­master
Developerquasardb
Initial release2019201720152009
Current release2.4.4, May 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
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++, GoJava, ScalaGoC++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringyes: int, bigint, decimal, stringNumeric data onlyyes infointeger and binary
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 infoImport of XML data possibleno
Secondary indexesnoall fields are automatically indexednoyes infowith tags
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
RESTful HTTP/JSON APIHTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlRole based access control and fine grained access rightsnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
MilvusNSDbPrometheusQuasardb
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
MilvusNSDbPrometheusQuasardb
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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