Users reported that Datadog excels in customer service and support, with prompt assistance and knowledgeable staff. ROI was deemed highly positive, with improvements in monitoring and troubleshooting capabilities. Datadog users seek enhanced customization options and better integration capabilities. Honeycomb.io offers advanced visualization capabilities and high cardinality query support. Users appreciate the platform's collaborative nature but call for better integrations, simplified pricing, and improved documentation.
Features: Datadog excels in comprehensive monitoring and customizable dashboards, with seamless integrations. Honeycomb.io stands out for advanced visualization and detailed insights with high cardinality query support. Users appreciate each platform's collaboration features for efficient teamwork.
Pricing and ROI: Datadog's setup cost is minimal and praised for its transparency and flexibility in pricing. Honeycomb.io also offers a competitive pricing with straightforward setup cost and licensing structure, making it easy to budget for. Datadog's ROI is praised for significant monitoring and troubleshooting improvements, while Honeycomb.io's ROI highlights system performance enhancements and powerful querying capabilities, leading to increased productivity.
Room for Improvement: Datadog's room for improvement lies in enhanced customization options for dashboard layouts, better integration capabilities, and improved alerts and notifications setup. Meanwhile, Honeycomb.io needs more usability, customization choices, smoother integrations, and enhanced overall performance.
Deployment and customer support: The reviews on Datadog indicate a range of timeframes for deployment and setup, with potential confusion on whether they are distinct phases. In contrast, feedback on Honeycomb.io shows a clearer distinction between deployment and setup timelines, emphasizing the need for careful consideration in evaluating implementation durations. Datadog has satisfied customers with their prompt and knowledgeable customer service, while Honeycomb.io's team stands out for their helpfulness, clear communication, and expert assistance. Both companies excel in addressing issues effectively.
The summary above is based on 195 interviews we conducted recently with Datadog and Honeycomb.io users. To access the review's full transcripts, download our report.
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
"Datadog has proven to be easy to set up and legible for both development and operational teams."
"The most valuable aspect is for us to have everything in one place."
"I find the greatest feature is being able to search across logs from various microservices."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"We want to reduce having to go to different screens to obtain all the information."
"Billing should be more transparent."
"I would love to see more metrics or analytics in IoT devices."
"It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors)."
"Datadog has a lot of features kind of cramped into one dashboard. It's quite hard to get around what feature does exactly what. There was a steep learning curve, trying to navigate through menus."
"The product could do better with its notifications."
"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while Honeycomb.io is ranked 35th in Application Performance Monitoring (APM) and Observability with 1 review. Datadog is rated 8.6, while Honeycomb.io is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Honeycomb.io writes "A valuable solution for application teams to identify downtime and SLO-related issues". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas Honeycomb.io is most compared with Grafana, Sentry, Chronosphere, New Relic and AWS X-Ray.
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