DBMS > Milvus
Milvus System Properties
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|Editorial information provided by DB-Engines|
|Description||A DBMS designed for efficient storage of vector data and vector similarity searches|
|Primary database model||Search engine|
|Current release||2.0, January 2022|
|License Commercial or Open Source||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||C++, Go|
|Server operating systems||Linux|
macOS 10.14 or later
Windows with WSL 2 enabled
|Typing predefined data types such as float or date||Numeric and String|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||no|
|APIs and other access methods||RESTful HTTP API|
|Supported programming languages||C++|
|Server-side scripts Stored procedures||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Bounded Staleness|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||no|
|More information provided by the system vendor|
Milvus is an open-source and cloud-native vector database built for production-ready AI. It was created to store,
index, and manage billion, or even trillion-scale embedding vectors generated by deep neural networks and other machine learning (ML) models.
As a database specifically designed to handle queries over vectors, it is capable of indexing vectors on a trillion
scale. Unlike existing relational databases which mainly deal with structured data following a pre-defined
pattern, Milvus is designed from the bottom-up to handle embedding vectors converted from unstructured data
like emails, papers, IoT sensor data, Facebook photos, protein structures, and much more.
|Typical application scenarios|
See more in Milvus Bootcamp.
Milvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee, Shutterstock, SmartNews,
Tencent, Tokopedia, TrendMicro, Walmart, and much more.
See Milvus Adopters for more Milvus users.
As of March 2022,
|Licensing and pricing models|
Milvus was released under the open-source Apache License 2.0 in October 2019.
Managed Cloud Service (coming soon).
Related products and services
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|Recent citations in the news|
Top 10 Companies Working on Autonomous Mobile Robots in 2022
Milvus, the AI Search Engine, Originally Developed by Zilliz Joins LF AI as New Incubation Project
What Is Vector Similarity Search? | Business Applications of Vector Search
Database technology evolves to combine machine learning and data storage
The Recommendation System
provided by Google News
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