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 Vector Databases category of a tech stack.
Milvus is an open source tool with 31.9K GitHub stars and 3K GitHub forks. Here’s a link to Milvus's open source repository on GitHub
Who uses Milvus?
Companies
4 companies reportedly use Milvus in their tech stacks, including SMARTTechStack, all, and Yeptech.
Developers
44 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 10 tools that integrate with Milvus.
Pros of Milvus
2
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?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
