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Milvus Pros review quotes

reviewer2395743 - PeerSpot reviewer
Apr 29, 2024
Milvus offers multiple methods for calculating similarities or distances between vectors, such as L2 norm and cosine similarity. These methods help in comparing different vectors based on specific use cases. For instance, in our use case, we find that the L2 distance works best, but you can experiment with different methods to find the most suitable one for your needs.
Rushikesh Patki - PeerSpot reviewer
May 13, 2024
I like the accuracy and usability.
Sameer Bhangale - PeerSpot reviewer
Apr 22, 2024
The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly.
Find out what your peers are saying about The Milvus Project, LanceDB, Meta and others in Open Source Databases. Updated: October 2024.
816,406 professionals have used our research since 2012.
Arucy Lionel - PeerSpot reviewer
Nov 27, 2023
Milvus has good accuracy and performance.
AJ
Apr 27, 2024
The best feature of Milvus was finding the closest chunk from a huge amount of data.
 

Milvus Cons review quotes

Rushikesh Patki - PeerSpot reviewer
May 13, 2024
Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly.
Sameer Bhangale - PeerSpot reviewer
Apr 22, 2024
Milvus' documentation is not very user-friendly and doesn't help me get started quickly.
Arucy Lionel - PeerSpot reviewer
Nov 27, 2023
Milvus has higher resource consumption, which introduces complexity in implementation.
Find out what your peers are saying about The Milvus Project, LanceDB, Meta and others in Open Source Databases. Updated: October 2024.
816,406 professionals have used our research since 2012.
AJ
Apr 27, 2024
I've heard that when we store too much data in Milvus, it becomes slow and does not work properly.