We performed a comparison between Elastic Search and Microsoft FAST based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, IBM, OpenText and others in Indexing and Search."Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"A nonstructured database that can manage large amounts of nonstructured data."
"It helps us to analyse the logs based on the location, user, and other log parameters."
"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 AI-based attribute tagging is a valuable feature."
"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."
"It is easy to scale with the cluster node model."
"The most valuable features are the data store and the X-pack extension."
"Microsoft FAST is quite robust. Our clients are quite happy with it."
"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."
"I would rate the stability a seven out of ten. We faced a few issues."
"There is another solution I'm testing which has a 500 record limit when you do a search on Elastic Enterprise Search. That's the only area in which I'm not sure whether it's a limitation on our end in terms of knowledge or a technical limitation from Elastic Enterprise Search. There is another solution we are looking at that rides on Elastic Enterprise Search. And the limit is for any sort of records that you're doing or data analysis you're trying to do, you can only extract 500 records at a time. I know the open-source nature has a lot of limitations, Otherwise, Elastic Enterprise Search is a fantastic solution and I'd recommend it to anyone."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"Elastic Enterprise Search's tech support is good but it could be improved."
"Ratio aggregation is not supported in this solution."
"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."
"Better dashboards or a better configuration system would be very good."
"If there is any change in a system or a configuration or an update, we might face some issues."
Earn 20 points
Elastic Search is ranked 1st in Indexing and Search with 59 reviews while Microsoft FAST is ranked 4th in Indexing and Search. Elastic Search is rated 8.2, while Microsoft FAST is rated 9.0. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Microsoft FAST writes "Robust solution with good value". Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and Amazon Kendra, whereas Microsoft FAST is most compared with Lookeen, Lucene and IBM Watson Discovery.
See our list of best Indexing and Search vendors.
We monitor all Indexing and Search 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.