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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Honeycomb vs Treo

Honeycomb vs Treo

OverviewComparisonAlternatives

Overview

Honeycomb
Honeycomb
Stacks80
Followers112
Votes8
Treo
Treo
Stacks25
Followers9
Votes1

Honeycomb vs Treo: What are the differences?

Developers describe Honeycomb as "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. On the other hand, Treo is detailed as "Page speed monitoring powered by Google's Lighthouse". By combining modern tooling with the power of data visualization, Treo provides evidence of fast web experience and helps you build performant websites.

Honeycomb and Treo can be primarily classified 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, Treo provides the following key features:

  • User Experience Metrics - First Meaningful Paint, First Interactive, Consistently Interactive, Performance Score
  • Interactivity Heatmap - Provides an inside on main thread usage and blocking
  • Accurate Monitoring - Enter a URL, choose a location, and start monitoring every hour with full access to the history

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Detailed Comparison

Honeycomb
Honeycomb
Treo
Treo

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.

By combining modern tooling with the power of data visualization, Treo provides evidence of fast web experience and helps you build performant websites.

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.
User Experience Metrics - First Meaningful Paint, First Interactive, Consistently Interactive, Performance Score; Interactivity Heatmap - Provides an inside on main thread usage and blocking; Accurate Monitoring - Enter a URL, choose a location, and start monitoring every hour with full access to the history; High-Level Overview - Get a full picture of your site's performance in one high-level overview. Data preview includes user experience metrics aligned with page screenshots.; User Timing - Configure custom metrics, like "Time to First Tweet" or "Time to Hero Image" using User Timing API. Treo will detect them automatically and provide powerful visualization and alerts.; Distribution View - Discover distribution of each metric. Is it a stable value? Is it unstable and possibly affected by third-party content? Do you have performance regression?; Alerts - Set up automatic alarms to receive notifications about quality regressions. Alerts are checked with each automatic audit or using Deploy API.
Statistics
Stacks
80
Stacks
25
Followers
112
Followers
9
Votes
8
Votes
1
Pros & Cons
Pros
  • 3
    BubbleUp + Heat maps
  • 2
    Powerful UI
  • 2
    High-Cardinality Data
  • 1
    Better Value
Pros
  • 1
    Easy to setup and great visualization
Integrations
JavaScript
JavaScript
Ruby
Ruby
ExpressJS
ExpressJS
Slack
Slack
NGINX
NGINX
PostgreSQL
PostgreSQL
MySQL
MySQL
Python
Python
Golang
Golang
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)
No integrations available

What are some alternatives to Honeycomb, Treo?

New Relic

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.

Datadog

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!

Raygun

Raygun

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.

AppSignal

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

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

Stackify

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

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

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