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DBMS > Milvus vs. OpenSearch vs. Prometheus

System Properties Comparison Milvus vs. OpenSearch vs. Prometheus

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOpenSearch  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneOpen-source Time Series DBMS and monitoring system
Primary database modelVector DBMSSearch engine
Vector DBMS
Time Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.90
Rank#87  Overall
#7  Vector DBMS
Score17.19
Rank#32  Overall
#4  Search engines
#2  Vector DBMS
Score6.48
Rank#54  Overall
#3  Time Series DBMS
Websitemilvus.iogithub.com/­opensearch-project
opensearch.org
prometheus.io
Technical documentationmilvus.io/­docs/­overview.mdopensearch.org/­docs/­latestprometheus.io/­docs
DeveloperThe OpenSearch Software Foundation
Initial release201920212015
Current release2.4.4, May 20242.19, February 2025
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC++, GoJavaGo
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java VMLinux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateVector, Numeric and StringyesNumeric data only
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 infoImport of XML data possible
Secondary indexesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allnone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole based access control and fine grained access rightsno

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More resources
MilvusOpenSearchPrometheus
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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