We performed a comparison between Elastic Search and Faiss based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector Databases."The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints."
"The initial setup is very easy for small environments."
"The tool's stability and performance are good."
"The products comes with REST APIs."
"Dashboard is very customizable."
"It is easy to scale with the cluster node model."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"The most valuable feature of the solution is its utility and usefulness."
"The product has better performance and stability compared to one of its competitors."
"There is an index issue in which the data starts to crash as it increases."
"We have an issue with the volume of data that we can handle."
"Ratio aggregation is not supported in this solution."
"Elastic Search could benefit from a more user-friendly onboarding process for beginners."
"The GUI is the part of the program which has the most room for improvement."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"It could be more accessible for handling larger data sets."
Elastic Search is ranked 1st in Vector Databases with 59 reviews while Faiss is ranked 2nd in Vector Databases with 1 review. Elastic Search is rated 8.2, while Faiss is rated 7.0. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Faiss writes "Works efficiently with smaller data sets, there could be an integration with automated products ". Elastic Search is most compared with Milvus, Azure Search, Pinecone, Amazon Kendra and OpenText IDOL, whereas Faiss is most compared with Chroma, Qdrant, Pinecone, Milvus and OpenSearch.
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.