"Search is really powerful."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"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."
"It's a stable solution and we have not had any issues."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"The UI is very nice, and performance wise it's quite good too."
"The most valuable feature is the out of the box Kibana."
"The most valuable feature is the ability to perform a natural language search."
"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."
"I would like to be able to do correlations between multiple indexes."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"Improving machine learning capabilities would be beneficial."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"The reports could improve."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"The one area that can use improvement is the automapping of fields."
"The performance for this solution, in terms of queries, could be improved."
Elastic Enterprise Search is ranked 1st in Search as a Service with 22 reviews while Solr is ranked 7th in Search as a Service with 1 review. Elastic Enterprise Search is rated 8.2, while Solr is rated 8.0. 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". On the other hand, the top reviewer of Solr writes "The Natural Language Search capability is helpful and intuitive for our users". Elastic Enterprise Search is most compared with Azure Search, Amazon Athena, Splunk User Behavior Analytics, Amazon Kendra and Algolia, whereas Solr is most compared with Amazon AWS CloudSearch, Amazon Kendra, Azure Search and Algolia.
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