"It is stable."
"I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."
"Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies."
"The most valuable feature of the solution is its utility and usefulness."
"The product is scalable with good performance."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"The products comes with REST APIs."
"The initial setup is very easy for small environments."
"Microsoft FAST is quite robust. Our clients are quite happy with it."
"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."
"Its licensing needs to be improved. They don't offer a perpetual license. They want to know how many nodes you will be using, and they ask for an annual subscription. Otherwise, they don't give you permission to use it. Our customers are generally military or police departments or customers without connection to the internet. Therefore, this model is not suitable for us. This subscription-based model is not the best for OEM vendors. Another annoying thing about Elasticsearch is its roadmap. We are developing something, and then they say, "Okay. We have removed that feature in this release," and when we are adapting to that release, they say, "Okay. We have removed that one as well." We don't know what they will remove in the next version. They are not looking for backward compatibility from the customers' perspective. They just remove a feature and say, "Okay. We've removed this one." In terms of new features, it should have an ODBC driver so that you can search and integrate this product with existing BI tools and reporting tools. Currently, you need to go for third parties, such as CData, in order to achieve this. ODBC driver is the most important feature required. Its Community Edition does not have security features. For example, you cannot authenticate with a username and password. It should have security features. They might have put it in the latest release."
"We have an issue with the volume of data that we can handle."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"The GUI is the part of the program which has the most room for improvement."
"There are some features lacking in ELK Elasticsearch."
"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 Milvus, Faiss, Azure Search, Amazon Kendra and Pinecone, whereas Microsoft FAST is most compared with Lookeen, IBM Watson Discovery, Lucene, Google Search Appliance and Coveo.
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