Kiran BMChief Data Scientist at Everlytics Data Science Pte Ltd
Anonymous UserSenior Search Engineer at a financial services firm
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The special text processing features in this solution are very important for me."
"The most valuable features are the data store and the X-pack extension."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"The product is scalable with good performance."
"Dashboard is very customizable."
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"The most valuable features are the ease and speed of the setup."
"The initial installation and setup were straightforward."
"The most valuable feature is the ability to perform a natural language search."
"One of the best aspects of the solution is the indexing. It's already indexed to all the fields in the category. We don't need to spend so much extra effort to do the indexing. It's great."
"Better dashboards or a better configuration system would be very good."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"Ratio aggregation is not supported in this solution."
"The GUI is the part of the program which has the most room for improvement."
"Could have more open source tools and testing."
"The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it."
"Kibana should be more friendly, especially when building dashboards."
"Technical support should be faster."
"The performance for this solution, in terms of queries, could be improved."
"It does take a little bit of effort to use and understand the solution. It would help us a lot if the solution offered up more documentation or tutorials to help with training or troubleshooting."
"We are using the free version and intend to upgrade."
"It can be expensive."
"This product is open-source and can be used free of charge."
"We are using the open-sourced version."
"The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
"The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
"We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
"The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise."
ELK Elasticsearch is ranked 1st in Search as a Service with 14 reviews while Solr is ranked 6th in Search as a Service with 2 reviews. ELK Elasticsearch is rated 7.8, while Solr is rated 7.6. The top reviewer of ELK Elasticsearch writes "Good processing power, very scalable, and able to handle all data formats". On the other hand, the top reviewer of Solr writes "The Natural Language Search capability is helpful and intuitive for our users". ELK Elasticsearch is most compared with Amazon Athena, Azure Search, Splunk User Behavior Analytics, Amazon AWS CloudSearch and Weka, whereas Solr is most compared with Azure Search, Amazon Kendra, Amazon AWS CloudSearch, Algolia and Amazon Athena. See our ELK Elasticsearch vs. Solr report.
See our list of best Search as a Service vendors.
We monitor all Search as a Service 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.