"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database."
"The UI is very nice, and performance wise it's quite good too."
"The most valuable features are the ease and speed of the setup."
"It's a stable solution and we have not had any issues."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"The initial installation and setup were straightforward."
"The most valuable feature is the out of the box Kibana."
"The RFS portion of the solution is the product's most valuable feature."
"You can develop your own apps within Loom, and they can be configured very simply."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"Kibana should be more friendly, especially when building dashboards."
"The reports could improve."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"There are some features lacking in ELK Elasticsearch."
"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."
"The metadata gets stored along with indexes and isn't queryable."
"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."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
"The change management within the solution needs to be improved. There needs to be more process automation."
"The reporting is a bit weak. They should work to improve this aspect of the product."
Earn 20 points
ELK Elasticsearch is ranked 1st in Anomaly Detection Tools with 19 reviews while Loom Systems is ranked 4th in Anomaly Detection Tools with 3 reviews. ELK Elasticsearch is rated 8.0, while Loom Systems is rated 8.4. 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 Loom Systems writes "Simple and very effective for developing and configuring apps with great integration capabilities". ELK Elasticsearch is most compared with Amazon Athena, Azure Search, Splunk User Behavior Analytics, Amazon AWS CloudSearch and Solr, whereas Loom Systems is most compared with Splunk IT Service Intelligence (ITSI), Moogsoft, Datadog and BigPanda. See our ELK Elasticsearch vs. Loom Systems report.
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