"It provides good access capabilities to various platforms."
"The amount of flexibility and agility is really assuring."
"The search speed is most valuable and important."
"You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"The solution is quite scalable and this is one of its advantages."
"It's a stable solution and we have not had any issues."
"The UI is very nice, and performance wise it's quite good too."
"The solution has good security features. I have been happy with the dashboards and interface."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement."
"The initial setup is not as easy as it should be."
"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 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."
"I would like to be able to do correlations between multiple indexes."
"Improving machine learning capabilities would be beneficial."
"There is an index issue in which the data starts to crash as it increases."
"The different applications need to be individually deployed."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"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."
Elastic Enterprise Search (Previously known as Swiftype) is Elasticsearch, with a complete set of specialized tools and extensible APIs that make it easy to build search solutions and give users the best answers, every time. Monitor performance with robust analytics, tweak relevance in real-time, and scale it all seamlessly.
Azure Search is ranked 5th in Search as a Service with 2 reviews while Elastic Enterprise Search is ranked 1st in Search as a Service with 19 reviews. Azure Search is rated 7.0, while Elastic Enterprise Search is rated 8.2. The top reviewer of Azure Search writes "Access capabilities provide opportunities for dealing with various platforms". On the other hand, the top reviewer of Elastic Enterprise Search writes "The go-to stack for machine- and sensor-generated data use cases. Easy to deploy and maintain. Elastic's ELK Elasticsearch, unlike AWS Elasticsearch, comes with batteries included". Azure Search is most compared with Amazon Kendra, Amazon AWS CloudSearch, Solr, Amazon Athena and Algolia, whereas Elastic Enterprise Search is most compared with Amazon Athena, Splunk User Behavior Analytics, Amazon Kendra, Amazon AWS CloudSearch and Solr. See our Azure Search vs. Elastic Enterprise Search report.
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