I have been using this for almost three and a half years now. Tracing is undoubtedly one of the best features they have developed. Tracing is basically the story in the code showing how the data is moving through. That is something which is extremely good. I can vouch for Honeycomb Enterprise, and that is the reason I brought Honeycomb Enterprise as our solution in my current organization. That is the best thing Honeycomb Enterprise has done. In the past, in my previous organization, we were using something called GCID where if you send data, GCID is basically each document we are receiving. We were using an enterprise solution there called Smarsh. In that company, we were getting almost five petabytes of data per day, so that is the volume I was dealing with. Honeycomb Enterprise was actually really great in terms of tracing. We had a sampling rate and we were not sending all the traces, but the best part is we were able to add more cardinal events, such as GCID, which was getting mapped in each and every document. We were sending those metrics blindly and we did not have to think more about it. The amount of engineering that Honeycomb Enterprise has done is actually handling it very well. At that scale also, I can vouch for Honeycomb Enterprise that it manages traces beautifully. That money is well spent. We do not have any complaints because tracing is something which is extremely good. How they cater to it and how they manage it is excellent. It is an extremely cost-effective solution right now in the market as compared to its peers like DataDog and other companies. Throughput is something which I was using previously. There were around twenty million ingestions in my previous organization, obviously. Here the scale is not very high where I can challenge the engine. In my previous organization, when there were twenty plus million ingestions of data every day, in those kinds of scenarios, Honeycomb Enterprise actually stood very well. The major solutioning we were using was for traces. We were not using it for metrics. So if there are more data points, there might be a crash in Honeycomb Enterprise. However, honestly, I have not used it at that scale, so I cannot comment exactly on that point. I have used it for metrics and that performed well, but not on a very high volume of data where I can challenge the engine itself on how it is processing. I would say it worked pretty well for mid-tier or similar tier companies. I do not have any complaints. But 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. Honeycomb Enterprise's tracing solution stands out. Whatever they have built, they have built an excellent product there. Honeycomb Enterprise actually works very well with traces. When you send traces, you will get the complete view of the life of the code and how it has been executed.
