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."Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical."
"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database."
"Dashboard is very customizable."
"The most valuable features are its user-friendly interface and seamless navigation."
"The search speed is most valuable and important."
"The solution has good security features. I have been happy with the dashboards and interface."
"It is stable."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"I used Faiss as a basic database."
"The product has better performance and stability compared to one of its competitors."
"It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there."
"I would like to see more integration for the solution with different platforms."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"The one area that can use improvement is the automapping of fields."
"The GUI is the part of the program which has the most room for improvement."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"There is an index issue in which the data starts to crash as it increases."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"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."
Elastic Search is ranked 1st in Vector Databases with 59 reviews while Faiss is ranked 2nd in Vector Databases with 2 reviews. Elastic Search is rated 8.2, while Faiss is rated 8.0. 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, Pinecone, Azure Search, Amazon Kendra and Qdrant, whereas Faiss is most compared with Chroma, Qdrant, Pinecone, Milvus and OpenSearch.
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