Honeycomb vs Stackify: What are the differences?
What is Honeycomb? Observability for a distributed world--designed for high cardinality data and collaborative problem solving 🐝💖. We built Honeycomb to answer the hard questions that come up when you're trying to operate your software–to debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys.
What is Stackify? Performance. Metrics. Errors. Logs. One platform. Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster.
Honeycomb and Stackify belong to "Performance Monitoring" category of the tech stack.
Some of the features offered by Honeycomb are:
- High-performance querying against high-cardinality or sparse events.
- Accepts any structured JSON objects with a write key.
- Submit events via API.
On the other hand, Stackify provides the following key features:
- Application Performance Management (APM), Custom metrics, Log management. Application monitoring
- Server Monitoring
- DB & queries monitoring
What is Honeycomb?
What is Stackify?
Need advice about which tool to choose?Ask the StackShare community!
Why do developers choose Honeycomb?
Sign up to add, upvote and see more prosMake informed product decisions
What are the cons of using Honeycomb?
What are the cons of using Stackify?
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.
We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.
We were looking for application performance management solution (APM) for our .net. We were using New Relic's free version but it wasn't cutting it and we were missing some capabilities. Stackify's solution is great and as a bonus we got their log management and exception aggregation tools that are integrated with the APM. Plus the team at Stackify was very helpful
Stackify does a great job at providing lots of useful information without it becoming overwhelming. All of the features are well thought out and it has proven very helpful at diagnosing and preventing bugs in our application.