Elastic Observability stands out for its seamless integration, intuitive user interface, powerful analytics, scalability, and open-source nature. Users appreciate its robust alerting system and reasonable pricing. Honeycomb.io is highly praised for its advanced visualization capabilities, high cardinality query support, and collaborative features. However, users have highlighted areas for improvement including lack of integrations, complex user interface, and pricing structure. While both products offer positive ROI and excellent customer service, Elastic Observability seems to have an edge in terms of flexibility and community support.
Features: Elastic Observability stands out for its seamless integration and comprehensive data visualization tools, while Honeycomb.io excels in advanced visualization capabilities and high cardinality query support, offering a more collaborative platform for real-time sharing and discussion.
Pricing and ROI: The setup cost for Elastic Observability is generally manageable, while Honeycomb.io has a minimal setup cost. Elastic Observability offers flexible licensing options, whereas users appreciate the transparency and value they receive with Honeycomb.io's straightforward licensing agreements. Elastic Observability excels in monitoring and log analysis, providing improved system performance and visibility. In contrast, Honeycomb.io is praised for cost-effectiveness and operational efficiency.
Room for Improvement: Elastic Observability could benefit from improved documentation, a more intuitive user interface, enhanced customization options, faster data visualization, and better integration with external tools. Honeycomb.io should focus on streamlining their user interface, providing more customization options, enhancing customer support responsiveness, and offering comprehensive documentation and tutorials.
Deployment and customer support: The reviews for Elastic Observability highlight differing implementation durations, with some users taking three months for deployment and a week for setup, while others completed both in a week. In contrast, users' feedback on Honeycomb.io varies, with one user needing three weeks for deployment and a few days for setup, while another completed both in a week. This suggests potential differences in how deployment and setup are defined and executed for each solution. Elastic Observability offers prompt and helpful customer service with good communication and knowledgeable staff. Users praise the availability of resources and community forum. In comparison, Honeycomb.io provides consistently praised support with helpfulness, clear communication, and expert assistance.
The summary above is based on 18 interviews we conducted recently with Elastic Observability and Honeycomb.io users. To access the review's full transcripts, download our report.
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The product has connectors to many services."
"We can view and connect different sources to the dashboard using it."
"The price is very less expensive compared to the other solutions."
"Its diverse set of features available on the cloud is of significant importance."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"Elastic Observability needs to have better standardization, logging, and schema."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"The price is the only issue in the solution. It can be made better and cheaper."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"There is room for improvement regarding its APM capabilities."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Honeycomb.io is ranked 37th in Application Performance Monitoring (APM) and Observability with 1 review. Elastic Observability is rated 7.8, while Honeycomb.io is rated 8.0. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of Honeycomb.io writes "A valuable solution for application teams to identify downtime and SLO-related issues". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Datadog and Azure Monitor, whereas Honeycomb.io is most compared with Grafana, Sentry, Chronosphere, New Relic and Azure Monitor.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
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