We performed a comparison between Elastic Stack and Falcon LogScale based on real PeerSpot user reviews.
Find out what your peers are saying about Splunk, Wazuh, Datadog and others in Log Management."The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it performed admirably. The alerting system is excellent, and searching through logs is incredibly efficient. What's impressive is that all three products or options are integrated into one solution. This means I don't need separate logging, monitoring, or antivirus solutions."
"I have experienced a return on investment from the use of the solution."
"The solution's technical support is good...Elastic Stack offers good value for value for money based on the product's features and what they offer."
"The machine learning capabilities are valuable."
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
"The tool's most powerful aspect is its search engine capability. It's a highly effective and powerful solution for searching. We use it in professional and student projects at universities, and it delivers promising results."
"The biggest strength of Elastic Stack is its brilliant archiving capabilities."
"Prior to the latest updates, data lake management was a standout feature. The hybrid capability for on-premise and cloud integration was also crucial. Now, with Elastic Defense, the agent simplifies security monitoring, making it a key asset."
"It offers the capability to view live log ingestion directly from the console which means you can seamlessly manage live log data ingestion alongside accessing and analyzing older data from the past."
"Elastic Stack's search capabilities can be challenging, especially when searching for precise data from past years, such as two or ten years ago. Its indexing performance for exact data retrieval may decrease as the data volume grows. Therefore, I believe there is room for improvement in the product's search functionality. It needs to improve its pricing as well."
"AI-enablement would be a big improvement in Elastic Stack...If there is room for an ML model in Elastic Stack, then it would be good."
"The implementation of dashboards in the solution needs to be made easier...I had some issues with the ports and configuration since it was kind of complex to implement with Docker."
"Elastic Stack should work on their dashboards and integration process."
"The solution is expensive, particularly the training and certification. If customers want to increase their use of Elastic Stack, they should consider reducing the cost of certification and training."
"It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities."
"Agent deployment is a little tough in the on-premise version."
"When people try to move the data from another source to Elastic Stack for visualization, they face challenges when connecting to Elastic Stack from such different sources."
"There are some overlapping features found in multiple tools."
Elastic Stack is ranked 16th in Log Management with 11 reviews while Falcon LogScale is ranked 34th in Log Management with 1 review. Elastic Stack is rated 8.4, while Falcon LogScale is rated 9.0. The top reviewer of Elastic Stack writes "A stable product that can be fine-tuned easily". On the other hand, the top reviewer of Falcon LogScale writes "A highly commendable and robust solution offering powerful features and comprehensive log data management". Elastic Stack is most compared with Security Onion, Wazuh, Grafana Loki, syslog-ng and Cribl Stream, whereas Falcon LogScale is most compared with Splunk Enterprise Security, Grafana Loki, LogRhythm SIEM, Exabeam Fusion SIEM and Sumo Logic Security.
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We monitor all Log Management 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.