Lead Engineer at a tech vendor with 51-200 employees
Real User
Top 5
Mar 31, 2026
In those scenarios where you are not getting the complete data to the customer, it will cap the data to one megabyte. For tracing solution, definitely, I will always suggest Honeycomb Enterprise is a better solution. Other observability solutions out there are expensive and they are not that reliable in terms of tracing, to be honest. If there is a genuine bug in the code, then Honeycomb Enterprise is also very useful for debugging the issues. Even a data-driven issue can be fixed using it because we get all the data when a user is providing any request. We actually get the input data in Honeycomb Enterprise and that way we can solve it very fast. We can see what kind of query they hit or what kind of workflow they have done. I think people are very resistant to adopting Honeycomb Enterprise. If you see the community, I am in the Honeycomb Enterprise community right now. I usually ask a lot of questions there. Now that AI came, the questions volume has decreased significantly. However, previously it was a very healthy community where a lot of questions came in. If you go through those questions, the major things are around how to set up things. It is not always about the metrics cardinality or how things are not working around it or if there are any solutions. I would say it worked pretty well for mid-tier or similar tier companies. I do not have any complaints. For enterprise solutioning, probably when a lot of data points come in, DataDog obviously has an edge there. They are actually the market leaders around it. They have better metrics, APM, and other aspects there. My overall review rating for Honeycomb Enterprise is eight out of ten.
Another thing is that for microservices, when you have multiple microservices installed, that is also required. There are tools where you install on a single microservice, but then these microservices interact with multiple microservices. That kind of picture, I have seen that in AppDynamics; they do give a picture showing that a particular request which arrived here had interaction with these other third-party services or microservices and databases. That is what we need. My overall rating for Honeycomb Enterprise is five out of ten.
Having those alerts and metrics in Slack helps with our SLAs. If we ever have downtime in a service, we can get back to it straight away. I rate Honeycomb Enterprise a seven out of ten because I feel a lot of the journeys could be made cleaner. Some of the dashboards and the insights could be a bit more well-refined. For example, Grafana has a lot better visualization tools, but it needs to be a bit more involved. Honeycomb Enterprise is deployed in our organization in a public cloud and is hosted by Honeycomb, who is the provider. My experience with pricing, setup cost, and licensing is that the number of samples would be good. The number of events, really, so we can pay less. I do not have the metrics for a return on investment, but it has been very useful. It is quite expensive, but I think we get value out of it. My overall rating for Honeycomb Enterprise is seven out of ten.
We set up Honeycomb.io on all the services so that we can have all the set traces of the communication between all the services inside the company. This helps us understand where it could be failing, which in turn helps with failures and observability. When we are not thinking about one specific failure but a major one, we can create queries for statistics views like the P99 or P95 behaviors. That's very helpful. I would recommend the solution to other users because it is very helpful. Overall, I rate the solution a nine out of ten.
Software Engineer at a financial services firm with 10,001+ employees
Real User
Top 20
Apr 6, 2023
Specifically, I would suggest application teams use Honeycomb.io since it is a good tool. Also, it can be helpful for members of applications teams to identify downtimes and SLO-related issues. Overall, I rate the tool an eight out of ten.
Honeycomb Enterprise is designed to optimize performance visibility, offering a robust platform for distributed system observability. It provides insights for complex data and aids in faster issue resolution, making it a valuable tool for IT professionals.This tool is tailored for real-time data tracking and improving system performance efficiency. Enterprises benefit from its capacity to handle large-scale data, ensuring seamless operations and continuity. Honeycomb Enterprise helps teams to...
In those scenarios where you are not getting the complete data to the customer, it will cap the data to one megabyte. For tracing solution, definitely, I will always suggest Honeycomb Enterprise is a better solution. Other observability solutions out there are expensive and they are not that reliable in terms of tracing, to be honest. If there is a genuine bug in the code, then Honeycomb Enterprise is also very useful for debugging the issues. Even a data-driven issue can be fixed using it because we get all the data when a user is providing any request. We actually get the input data in Honeycomb Enterprise and that way we can solve it very fast. We can see what kind of query they hit or what kind of workflow they have done. I think people are very resistant to adopting Honeycomb Enterprise. If you see the community, I am in the Honeycomb Enterprise community right now. I usually ask a lot of questions there. Now that AI came, the questions volume has decreased significantly. However, previously it was a very healthy community where a lot of questions came in. If you go through those questions, the major things are around how to set up things. It is not always about the metrics cardinality or how things are not working around it or if there are any solutions. I would say it worked pretty well for mid-tier or similar tier companies. I do not have any complaints. For enterprise solutioning, probably when a lot of data points come in, DataDog obviously has an edge there. They are actually the market leaders around it. They have better metrics, APM, and other aspects there. My overall review rating for Honeycomb Enterprise is eight out of ten.
Another thing is that for microservices, when you have multiple microservices installed, that is also required. There are tools where you install on a single microservice, but then these microservices interact with multiple microservices. That kind of picture, I have seen that in AppDynamics; they do give a picture showing that a particular request which arrived here had interaction with these other third-party services or microservices and databases. That is what we need. My overall rating for Honeycomb Enterprise is five out of ten.
Having those alerts and metrics in Slack helps with our SLAs. If we ever have downtime in a service, we can get back to it straight away. I rate Honeycomb Enterprise a seven out of ten because I feel a lot of the journeys could be made cleaner. Some of the dashboards and the insights could be a bit more well-refined. For example, Grafana has a lot better visualization tools, but it needs to be a bit more involved. Honeycomb Enterprise is deployed in our organization in a public cloud and is hosted by Honeycomb, who is the provider. My experience with pricing, setup cost, and licensing is that the number of samples would be good. The number of events, really, so we can pay less. I do not have the metrics for a return on investment, but it has been very useful. It is quite expensive, but I think we get value out of it. My overall rating for Honeycomb Enterprise is seven out of ten.
We set up Honeycomb.io on all the services so that we can have all the set traces of the communication between all the services inside the company. This helps us understand where it could be failing, which in turn helps with failures and observability. When we are not thinking about one specific failure but a major one, we can create queries for statistics views like the P99 or P95 behaviors. That's very helpful. I would recommend the solution to other users because it is very helpful. Overall, I rate the solution a nine out of ten.
Specifically, I would suggest application teams use Honeycomb.io since it is a good tool. Also, it can be helpful for members of applications teams to identify downtimes and SLO-related issues. Overall, I rate the tool an eight out of ten.