Raygun vs Honeycomb

Overview

Raygun

Stacks136

Followers178

Votes198

Honeycomb

Stacks80

Followers112

Votes8

Honeycomb vs Raygun: What are the differences?

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; Raygun: Use Raygun to track, manage, and report your software errors. Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Honeycomb and Raygun can be categorized as "Performance Monitoring" tools.

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, Raygun provides the following key features:

Error, crash and performance monitoring, in one platform
Support for every major programming language and platform
Minutes to set up

According to the StackShare community, Raygun has a broader approval, being mentioned in 53 company stacks & 57 developers stacks; compared to Honeycomb, which is listed in 5 company stacks and 19 developer stacks.

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Detailed Comparison

Raygun	Honeycomb
Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.	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.
Error, crash and performance monitoring, in one platform;Support for every major programming language and platform;Minutes to set up;Error grouping by root cause, assignment, comments and full diagnostic details;Front end performance monitoring to identify slow page load speeds in the user's browser;Modern Application Performance Monitoring (APM) with intelligent, automatic issue creation;Link with GitHub, Slack, JIRA and 30+ other team workflow integrations;See which problems were introduced (or fixed) in each deployment;See every issue your users have encountered and solve them with ease	High-performance querying against high-cardinality or sparse events.; Accepts any structured JSON objects with a write key.; Submit events via API.; Open source agents, log tailers, SDKs, and integrations.; Customizable high-performance query windows.; Customizable storage windows provide control over retention and costs.; Always have access to the the raw data behind query results and graphs.; Shared boards.; Individual and team query histories.; Triggers and notifications.; Secure Tenancy for data compliance.
Statistics
Stacks 136	Stacks 80
Followers 178	Followers 112
Votes 198	Votes 8
Pros & Cons
Pros 31 Easy setup and brilliant features 19 Integrates with many tools I use (e.g. GitHub, HipChat) 19 Huge range of programming languages supported 17 Support for JavaScript source maps 17 Makes my job so much easier	Pros 3 BubbleUp + Heat maps 2 Powerful UI 2 High-Cardinality Data 1 Better Value
Integrations
Java Jira .NET Campfire Python Golang CakePHP Trello Ruby Zapier	JavaScript Ruby ExpressJS Slack NGINX PostgreSQL MySQL Python Golang AWS Elastic Load Balancing (ELB)

What are some alternatives to Raygun, Honeycomb?

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Sentry

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackify

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