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."It's a stable solution and we have not had any issues."
"I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product."
"The solution is quite scalable and this is one of its advantages."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"Search is really powerful."
"X-Pack provides good features, like authorization and alerts."
"It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications."
"The UI is very nice, and performance wise it's quite good too."
"The product has better performance and stability compared to one of its competitors."
"I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly."
"Elastic Search could benefit from a more user-friendly onboarding process for beginners."
"I would like to see more integration for the solution with different platforms."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"Could have more open source tools and testing."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"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.