What is Milvus?
Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.
Milvus is a tool in the Search Engines category of a tech stack.
Milvus is an open source tool with 23.1K GitHub stars and 2.5K GitHub forks. Here’s a link to Milvus's open source repository on GitHub
Who uses Milvus?
Companies
Developers
18 developers on StackShare have stated that they use Milvus.
Milvus Integrations
Python, Java, Ubuntu, C++, and CentOS are some of the popular tools that integrate with Milvus. Here's a list of all 9 tools that integrate with Milvus.
Pros of Milvus
1
Decisions about Milvus
Here are some stack decisions, common use cases and reviews by companies and developers who chose Milvus in their tech stack.
I am researching different querying solutions to handle ~1 trillion records of data (in the realm of a petabyte). The data is mostly textual. I have identified a few options: Milvus, HBase, RocksDB, and Elasticsearch. I was wondering if there is a good way to compare the performance of these options (or if anyone has already done something like this). I want to be able to compare the speed of ingesting and querying textual data from these tools. Does anyone have information on this or know where I can find some? Thanks in advance!
Milvus's Features
- Heterogeneous computing
- Multiple indexes
- Intelligent resource management
- Horizontal scalability
- High availability
Milvus Alternatives & Comparisons
What are some alternatives to Milvus?
Sphinx
It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
Apache Solr
It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
Google
Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
MkDocs
It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.
