We performed a comparison between Faiss and Milvus based on real PeerSpot user reviews.
Find out in this report how the two Open Source Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I used Faiss as a basic database."
"The product has better performance and stability compared to one of its competitors."
"The best feature of Milvus was finding the closest chunk from a huge amount of data."
"Milvus has good accuracy and performance."
"I like the accuracy and usability."
"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."
"It could be more accessible for handling larger data sets."
"It would be beneficial if I could set a parameter and see different query mechanisms being run."
"Milvus has higher resource consumption, which introduces complexity in implementation."
"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."
"Milvus' documentation is not very user-friendly and doesn't help me get started quickly."
"Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly."
Faiss is ranked 12th in Open Source Databases with 2 reviews while Milvus is ranked 11th in Open Source Databases with 4 reviews. Faiss is rated 8.0, while Milvus is rated 7.6. The top reviewer of Faiss writes "Provides quick query search and has a big database". On the other hand, the top reviewer of Milvus writes "Provides quick and easy containerization, but documentation is not very user-friendly". Faiss is most compared with Chroma, Elastic Search, Qdrant, Pinecone and OpenSearch, whereas Milvus is most compared with Elastic Search, LanceDB, Chroma, OpenSearch and Redis. See our Faiss vs. Milvus report.
See our list of best Open Source Databases vendors and best Vector Databases vendors.
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