We performed a comparison between Faiss and Pinecone based on real PeerSpot user reviews.
Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The product has better performance and stability compared to one of its competitors."
"I used Faiss as a basic database."
"We chose Pinecone because it covers most of the use cases."
"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."
"The product's setup phase was easy."
"The semantic search capability is very good."
"It would be beneficial if I could set a parameter and see different query mechanisms being run."
"It could be more accessible for handling larger data sets."
"The tool does not confirm whether a file is deleted or not."
"The product fails to offer a serverless type of storage capacity."
"Onboarding could be better and smoother."
"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."
Faiss is ranked 2nd in Vector Databases with 2 reviews while Pinecone is ranked 5th in Vector Databases with 4 reviews. Faiss is rated 8.0, while Pinecone is rated 8.0. The top reviewer of Faiss writes "Provides quick query search and has a big database". On the other hand, the top reviewer of Pinecone writes "Helps retrieve data, relatively cheaper, and provides useful documentation". Faiss is most compared with Chroma, Elastic Search, Qdrant, Milvus and OpenSearch, whereas Pinecone is most compared with OpenSearch, Elastic Search, Qdrant, Redis and LanceDB. See our Faiss vs. Pinecone report.
See our list of best Vector Databases vendors.
We monitor all Vector 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.
