LanceDB vs Milvus comparison

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LanceDB Logo
228 views|199 comparisons
100% willing to recommend
The Milvus Project Logo
384 views|344 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between LanceDB and Milvus based on real PeerSpot user reviews.

Find out what your peers are saying about Oracle, PostgreSQL, MariaDB and others in Open Source Databases.
To learn more, read our detailed Open Source Databases Report (Updated: March 2024).
768,857 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "I am using the community edition of LanceDB, which is very cheap."
  • More LanceDB Pricing and Cost Advice →

  • "Milvus is an open-source solution."
  • More Milvus Pricing and Cost Advice →

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    Use our free recommendation engine to learn which Open Source Databases solutions are best for your needs.
    768,857 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The most valuable feature of LanceDB is its simplicity.
    Top Answer:I am using the community edition of LanceDB, which is very cheap.
    Top Answer:I use LanceDB for intent detection for the bot and for managing the knowledge base. When you upload a bunch of text to the bot, it will use that to know what to say when the user presents a request.
    Top Answer:Milvus has good accuracy and performance.
    Top Answer:Milvus has more overhead than other solutions especially with etcd setup and is too heavy for our use cases. Milvus has higher resource consumption, which introduces complexity in implementation.
    Top Answer:I use Milvus mostly for text processing and natural language processing.
    Ranking
    10th
    Views
    228
    Comparisons
    199
    Reviews
    1
    Average Words per Review
    387
    Rating
    9.0
    12th
    Views
    384
    Comparisons
    344
    Reviews
    1
    Average Words per Review
    297
    Rating
    7.0
    Comparisons
    Chroma logo
    Compared 57% of the time.
    Qdrant logo
    Compared 12% of the time.
    Pinecone logo
    Compared 6% of the time.
    PostgreSQL logo
    Compared 4% of the time.
    Redis logo
    Compared 2% of the time.
    Elastic Search logo
    Compared 27% of the time.
    Faiss logo
    Compared 19% of the time.
    Chroma logo
    Compared 15% of the time.
    OpenSearch logo
    Compared 13% of the time.
    Redis logo
    Compared 7% of the time.
    Learn More
    The Milvus Project
    Video Not Available
    Overview

    Zero management overhead, developer-friendly and open source. LanceDB is lightweight, scales from development to production and is 100x cheaper than alternatives.

    Milvus is a powerful tool for efficiently storing and retrieving large-scale vectors or embeddings. It is widely used in applications such as similarity search, recommendation systems, image and video retrieval, and natural language processing. 

    With its fast and accurate search capabilities, scalability, and support for multiple programming languages, Milvus is suitable for a wide range of industries and use cases. 

    Users appreciate its efficient search capabilities, ability to handle large-scale data, support for various data types, and user-friendly interface. 

    Milvus enables easy retrieval of information from vast datasets, regardless of the data format, and is praised for its high performance and scalability. The intuitive and easy-to-use interface is also highlighted as a valuable aspect of the platform.

    Sample Customers
    Information Not Available
    1. Alibaba Group 2. Tencent 3. Baidu 4. JD.com 5. Meituan 6. Xiaomi 7. Didi Chuxing 8. ByteDance 9. Huawei 10. ZTE 11. Lenovo 12. Haier 13. China Mobile 14. China Telecom 15. China Unicom 16. Ping An Insurance 17. China Life Insurance 18. Industrial and Commercial Bank of China 19. Bank of China 20. Agricultural Bank of China 21. China Construction Bank 22. PetroChina 23. Sinopec 24. China National Offshore Oil Corporation 25. China Southern Airlines 26. Air China 27. China Eastern Airlines 28. China Railway Group 29. China Railway Construction Corporation 30. China Communications Construction Company 31. China Merchants Group 32. China Evergrande Group
    Top Industries
    VISITORS READING REVIEWS
    Educational Organization16%
    Computer Software Company14%
    University10%
    Legal Firm7%
    VISITORS READING REVIEWS
    Computer Software Company26%
    Manufacturing Company13%
    Financial Services Firm10%
    Educational Organization8%
    Company Size
    VISITORS READING REVIEWS
    Small Business34%
    Midsize Enterprise9%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise11%
    Large Enterprise68%
    Buyer's Guide
    Open Source Databases
    March 2024
    Find out what your peers are saying about Oracle, PostgreSQL, MariaDB and others in Open Source Databases. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    LanceDB is ranked 10th in Open Source Databases with 1 review while Milvus is ranked 12th in Open Source Databases with 2 reviews. LanceDB is rated 9.0, while Milvus is rated 6.6. The top reviewer of LanceDB writes "A simple solution that has very good documentation and low research consumption". On the other hand, the top reviewer of Milvus writes "The solution has good accuracy and performance, but it has higher resource consumption". LanceDB is most compared with Chroma, Qdrant, Pinecone, PostgreSQL and Redis, whereas Milvus is most compared with Elastic Search, Faiss, Chroma, OpenSearch and Redis.

    See our list of best Open Source Databases vendors and best Vector Databases vendors.

    We monitor all Open Source Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.