Honeycomb Pros and Cons

Honeycomb dose what it says, making it easy to put our code in, our code set up with opentracking before we used, this helps us set up everything and i share what i learn with my friends too, Review collected by and hosted on G2.com.

So far i have not faced anything issue with the product, so no dislike Review collected by and hosted on G2.com.

The BubbleUp feature, which provides a clear view of the data at a particular time interval, is beneficial for knowing what's wrong with the system. Another handy feature is the Query History, which provides information about the queries run by others on the team. This is helpful in cases we can use a teammates query and modify it for our use case without brainstorming the entire query. The UI is very intuitive, and the Honeycomb team provides excellent support in terms of training and getting set up. Honeycomb works well with open telemetry, which is a massive benefit due to no vendor lock-in. Review collected by and hosted on G2.com.

Although it is a wonderful solution for observability, it is not the complete solution for monitoring and observability due to the lack of features like Real User Monitoring, which is very relevant to our product. There is no live tail of logs and way to setup archiving/retention of data in Honeycomb yet. Review collected by and hosted on G2.com.

Provides great insights into various metrics around our applications and services and helps us debug and troubleshoot a lot easier. Review collected by and hosted on G2.com.

It can be challenging to navigate at times, but this is just a nitpick. Review collected by and hosted on G2.com.

Being able to detect outliers using its "BubbleUp" functinality it's a life saver. We are big on metric dimensions and the amount of datapoints and tags can be overwhelming, but Honeycomb really excels there especially when compared with competitors which tend to abuse average/max/sum grouping that can hide real issues. Review collected by and hosted on G2.com.

Adding simple/out-of-the-box anomaly detection based triggers would be a nice addition so we don't have to rely so much on thresholds or use more complex derived columns for simple variations in standard patterns like the amount of HTTP Requests, error rates and so on Review collected by and hosted on G2.com.

I like that Honeycomb is an event-driven observability platform for debugging systems, application code, and databases. Honeycomb ingests structured data and performs read-time query aggregation to support speedy analytics over ultra-rich datasets without indexes or schemas to maintain, and a fast, interactive interface.

Honeycomb is designed to help you fix any errors or problems you have when working Review collected by and hosted on G2.com.

I dislike query aggregation to support speedy analytics over ultra-rich datasets without indexes or schemas to maintain, and a fast, interactive interface.

Honeycomb is designed to help your team answer unpredictable new questions — quickly, accurately, and painlessly. It provides real-time, interactive introspection for your data at a scale that would drown or bankrupt other apps

Honeycomb is built for collaboration, so everyone on a team can explore the system without needing root access or years of institutional knowledge Review collected by and hosted on G2.com.