Milvus vs OpenSearch comparison

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The Milvus Project Logo
384 views|344 comparisons
100% willing to recommend
OpenSearch Project Logo
349 views|342 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Milvus and OpenSearch 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
  • "Milvus is an open-source solution."
  • More Milvus Pricing and Cost Advice →

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    Questions from the Community
    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.
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    Earn 20 points

    Ranking
    12th
    Views
    384
    Comparisons
    344
    Reviews
    1
    Average Words per Review
    297
    Rating
    7.0
    14th
    Views
    349
    Comparisons
    342
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Elastic Search logo
    Compared 27% of the time.
    Faiss logo
    Compared 19% of the time.
    Chroma logo
    Compared 15% of the time.
    LanceDB logo
    Compared 13% of the time.
    Redis logo
    Compared 7% of the time.
    Pinecone logo
    Compared 32% of the time.
    Faiss logo
    Compared 15% of the time.
    Redis logo
    Compared 11% of the time.
    PostgreSQL logo
    Compared 9% of the time.
    Chroma logo
    Compared 6% of the time.
    Learn More
    Overview

    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.

    OpenSearch is a powerful search tool that enhances search capabilities and improves data analysis. It is used for indexing and searching large volumes of data, enabling real-time monitoring and analysis, and integrating with various applications and systems. 

    OpenSearch is suitable for both small-scale and enterprise-level deployments, offering flexibility and scalability. Its valuable features include robust search capabilities, an efficient indexing system, customizable dashboards, seamless integration, extensive documentation, and support. 

    The open-source nature of OpenSearch fosters a vibrant community and frequent updates, ensuring continuous improvement and innovation.

    Sample Customers
    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
    1. Amazon 2. Netflix 3. Yelp 4. Adobe 5. IBM 6. Microsoft 7. Cisco 8. Oracle 9. Salesforce 10. eBay 11. Spotify 12. Airbnb 13. Twitter 14. LinkedIn 15. Pinterest 16. Slack 17. Dropbox 18. Expedia 19. Uber 20. Lyft 21. Square 22. Zillow 23. Reddit 24. Hulu 25. Twitch 26. Booking.com 27. Etsy 28. Groupon 29. StubHub 30. TripAdvisor 31. Wayfair 32. Zappos
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company26%
    Manufacturing Company13%
    Financial Services Firm10%
    Educational Organization8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Manufacturing Company7%
    Educational Organization7%
    Company Size
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise11%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise15%
    Large Enterprise67%
    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.

    Milvus is ranked 12th in Open Source Databases with 2 reviews while OpenSearch is ranked 14th in Open Source Databases. Milvus is rated 6.6, while OpenSearch is rated 0.0. The top reviewer of Milvus writes "The solution has good accuracy and performance, but it has higher resource consumption". On the other hand, Milvus is most compared with Elastic Search, Faiss, Chroma, LanceDB and Redis, whereas OpenSearch is most compared with Pinecone, Faiss, Redis, PostgreSQL and Chroma.

    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.