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DBMS > Milvus vs. Prometheus vs. YottaDB

System Properties Comparison Milvus vs. Prometheus vs. YottaDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonPrometheus  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesOpen-source Time Series DBMS and monitoring systemA fast and solid embedded Key-value store
Primary database modelVector DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitemilvus.ioprometheus.ioyottadb.com
Technical documentationmilvus.io/­docs/­overview.mdprometheus.io/­docsyottadb.com/­resources/­documentation
DeveloperYottaDB, LLC
Initial release201920152001
Current release2.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL 3.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoGoC
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Docker
Linux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateVector, Numeric and StringNumeric data onlyno
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 possibleno
Secondary indexesnonono
SQL infoSupport of SQLnonoby using the Octo plugin
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
none
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesnoyes
User concepts infoAccess controlRole based access control and fine grained access rightsnoUsers and groups based on OS-security mechanisms
More information provided by the system vendor
MilvusPrometheusYottaDB
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
MilvusPrometheusYottaDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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