Honeycomb.io vs Monte Carlo comparison

The compared Honeycomb.io and Monte Carlo solutions aren't in the same category. Honeycomb.io is ranked #25 in APM , with an average rating of 9.0, and holds a 1.6% mindshare in the category. Monte Carlo is ranked #1 in DO , with an average rating of 9.0, and holds a 34.1% mindshare. Additionally, 100% of Honeycomb.io users are willing to recommend the solution, compared to 100% of Monte Carlo users who would recommend it.

Honeycomb.io

Read 2 Honeycomb.io reviews

2,572 Views
2,443 Comparison Views

100% willing to recommend

Monte Carlo

Read 1 Monte Carlo review

859 Views
266 Comparison Views

100% willing to recommend

Honeycomb.io

Monte Carlo

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Honeycomb.io and Monte Carlo based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: July 2025).

Buyer's Guide

Application Performance Monitoring (APM) and Observability

July 2025

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Helped 862,077 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Honeycomb.io

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (25th), AI Code Assistants (11th)

Monte Carlo

Average Rating

9.0

Number of Reviews

Ranking in other categories

Data Observability (1st)

Mindshare comparison

Honeycomb.io and Monte Carlo aren’t in the same category and serve different purposes. Honeycomb.io is designed for Application Performance Monitoring (APM) and Observability and holds a mindshare of 1.6%, up 1.3% compared to last year.
Monte Carlo, on the other hand, focuses on Data Observability, holds 34.1% mindshare, down 39.4% since last year.

Application Performance Monitoring (APM) and Observability

Data Observability

Featured Reviews

Diego Gomes De Lima

Senior Software Engineer at SumUp

Easy to use and the dashboard is very intuitive

We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemetry. Alerts are very helpful in Honeycomb.io, but we don't usually merge because we can compare queries with queries for making alerts. We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced.

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Prathik Rokhade

Associate Sr. Manager at Financial Insight Technology, Inc.

Provides centralized data observability features and has an easy-to-use user interface.

The product's initial setup is in a daily improvement stage, deploying new plugins for upstream and downstream resources. It takes 25 minutes to complete. The process involves integrating with third-party services for Single Sign-On (SSO). It requires only one executive for maintenance as it has easy-to-use navigation and user interface.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."

"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."

"It makes organizing work easier based on its relevance to specific projects and teams."

Cons

"We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced."

"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."

"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."

Pricing and Cost Advice

Information not available

"The product has moderate pricing."

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

14%

Manufacturing Company

Comms Service Provider

Computer Software Company

17%

Manufacturing Company

Financial Services Firm

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with Honeycomb.io?

See all answers

What is your primary use case for Honeycomb.io?

The solution is mainly used for stack observability. It observes service behavior or any kind of failure that may be happening. The tool is also related to research. My company is working more on t...

See all answers

What advice do you have for others considering Honeycomb.io?

We set up Honeycomb.io on all the services so that we can have all the set traces of the communication between all the services inside the company. This helps us understand where it could be failin...

See all answers

What do you like most about Monte Carlo?

It makes organizing work easier based on its relevance to specific projects and teams.

See all answers

What is your experience regarding pricing and costs for Monte Carlo?

The product has moderate pricing.

See all answers

What needs improvement with Monte Carlo?

For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history. This feature needs improvement. Its price could be a ...

See all answers

Comparisons

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Compared 24% of the time

Grafana vs Honeycomb.io

Compared 18% of the time

Datadog vs Honeycomb.io

Compared 11% of the time

Zabbix vs Honeycomb.io

Compared 6% of the time

Prometheus Group vs Honeycomb.io

Compared 5% of the time

More Honeycomb.io Competitors

Datadog vs Monte Carlo

Compared 24% of the time

Grafana vs Monte Carlo

Compared 18% of the time

Acceldata vs Monte Carlo

Compared 11% of the time

Anomalo vs Monte Carlo

Compared 11% of the time

Dynatrace vs Monte Carlo

Compared 9% of the time

More Monte Carlo Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

July 2025

Download Honeycomb.io product report

No data available

Also Known As

Grit

No data available

Overview

Honeycomb.io offers a comprehensive platform for observability, facilitating debugging and analysis of production systems through real-time data insights.

This advanced observability tool is tailored for engineering teams, providing deep insight into complex systems' performance. Honeycomb.io enables real-time data analysis, empowering teams to quickly identify and resolve issues, ensuring optimized system performance and reliability. Its innovative approach allows seamless integration into production workflows, enhancing the capability to observe and debug systems efficiently.

What are the key features of Honeycomb.io?

Query Builder: Enables complex queries to analyze and visualize data effectively.
BubbleUp: Assists in pinpointing anomalous behaviors in vast datasets.
Tracing: Provides detailed traces that help in understanding request flows.
Service Maps: Visualizes architecture dependencies aiding comprehension.

What benefits should users look for in Honeycomb.io reviews?

Rapid Problem Resolution: Reduces mean time to resolution by offering clear diagnostics.
Cost Efficiency: Enables resource optimization by understanding usage patterns.
Improved Collaboration: Facilitates cross-team communication through shared insights.
Increased Productivity: Streamlines workflows, freeing up time for development.

Implementation of Honeycomb.io spans multiple industries, enhancing system reliability and performance. In e-commerce, it offers robust monitoring of online services to mitigate downtime. In fintech, it ensures secure and seamless transactions, protecting against potential failures. SaaS companies utilize it for maintaining seamless experience by identifying bottlenecks swiftly. Honeycomb.io's scalability ensures it meets growing demands of dynamic industry requirements.

Honeycomb.io

Stop wasting time on data fire-drills. Stop trying to hack band-aid solutions. Stop paying for outdated data governance software. With Monte Carlo, data teams are the first to know about and resolve data problems, leading to stronger data teams and insights that deliver true business value.
You invest so much in your data infrastructure – you simply can’t afford to settle for unreliable data. At Monte Carlo, we believe in the power of data, and in a world where you sleep soundly at night knowing you have full trust in your data.

Monte Carlo

Sample Customers

Clover Health, Eaze, Intercom, Fender

Information Not Available

Buyer's Guide

Application Performance Monitoring (APM) and Observability

July 2025

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We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.