AWS X-Ray vs Honeycomb.io comparison

Amazon Web Services (AWS) and Honeycomb.io are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #17 with an average rating of 8.0, while Honeycomb.io is ranked #28 with an average rating of 8.5. Amazon Web Services (AWS) holds a 3.9% mindshare in APM, compared to Honeycomb.io’s 1.8% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Honeycomb.io users who would recommend it.

AWS X-Ray

Read 7 AWS X-Ray reviews

6,326 Views
5,744 Comparison Views

100% willing to recommend

Honeycomb.io

Read 2 Honeycomb.io reviews

2,710 Views
2,360 Comparison Views

100% willing to recommend

AWS X-Ray

Honeycomb.io

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS X-Ray and Honeycomb.io based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS X-Ray vs. Honeycomb.io Report (Updated: December 2024).

Buyer's Guide

AWS X-Ray vs. Honeycomb.io

December 2024

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Helped 824,053 peers since 2012

Categories and Ranking

AWS X-Ray

Ranking in Application Performance Monitoring (APM) and Observability

17th

Average Rating

7.8

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Honeycomb.io

Ranking in Application Performance Monitoring (APM) and Observability

28th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS X-Ray is 3.9%, up from 3.5% compared to the previous year. The mindshare of Honeycomb.io is 1.8%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

Parth Solanki

Founder & CEO at Quicklead.io

Saves time, is relatively cheap, and helps find errors

If we get any error, we can go to X-Ray and get all the requests for a certain error in one place. It makes it easy to find the issue in your own product. You can look at logs and error logs and find loopholes. You can do direct queries to get specific requests over the course of a day. It's very good at error reporting and quite fast. You also get a lot of information, including IP addresses, user locations, et cetera.

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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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Quotes from Members

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

Pros

"The most promising feature of AWS X-Ray is that you can debug the issues through the proper logs. You can also get an analysis out of the logs for some use cases, though I have yet to try all the features of AWS X-Ray."

"The most important one is compliance. We're able to achieve our regulatory levels. We're able to achieve the security level that we need for the federal government."

"AWS X-RAY identifies bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration."

"It is a very scalable solution."

"The solution has made it easier for us to trace the problems that we have with our requests and to monitor the timing of each step in each request we do in our endpoints."

"The error analysis capabilities of X-Ray are really good."

"The most beneficial feature is that it shows a dashboard for performance intervals, which reveals latencies."

"AWS X-Ray is a strong solution and has a smooth integration process."

"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."

Cons

"If you have a small team, it's probably overkill."

"I do not have any notes in terms of improvements."

"What needs to be better in AWS X-Ray is the log filtering. Predefined filters could be helpful because the power of analytics comes from how you can filter the data. I also want to see more KPIs from AWS X-Ray."

"They can improve how traces are sent to other providers."

"A significant downside is that it is very expensive."

"Like most Amazon products, the user interface, configuration, and tuning aren't the easiest. That's the biggest reason why people tend to go to products like TerraForm and Terragrunt. We use TerraForm and Terragrunt. So, for setting things up and interacting with X-Ray, it's definitely the user interface that can be better."

"It should have X-Ray SDKs for different languages like Node.js, Python, or Java."

"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."

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

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

Pricing and Cost Advice

"The solution is a bit expensive."

"As you develop a relationship with Amazon, your pricing gets lower. You get credits for the amount of the system you use, and then if you're the government, you can get government pricing. For commercial users, there's a hump when you go from small to medium to big enterprise. Small businesses can live pretty easily off the free tier in a lot of cases, but when you go from a medium to a big enterprise, it becomes more expensive on a per-user basis. I'd like to see that curve going in a different way where pricing can be driven down while people are trying to adopt the technology."

"The pricing for AWS X-Ray is a six out of ten."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

17%

Manufacturing Company

Comms Service Provider

Financial Services Firm

18%

Computer Software Company

16%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about AWS X-Ray?

AWS X-Ray is a strong solution and has a smooth integration process.

See all answers

What is your experience regarding pricing and costs for AWS X-Ray?

AWS X-Ray is very beneficial, however, it is expensive. It should be more cost-effective.

See all answers

What needs improvement with AWS X-Ray?

It should have X-Ray SDKs for different languages like Node.js, Python, or Java. It should also have custom annotations and better instruments for external API services. In addition to these, X-Ray...

See all answers

What do you like most about Honeycomb.io?

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

See all answers

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

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Compared 20% of the time

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Compared 15% of the time

Prometheus vs Honeycomb.io

Compared 7% of the time

Observe vs Honeycomb.io

Compared 4% of the time

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Product Reports

Buyer's Guide

AWS X-Ray

December 2024

Download AWS X-Ray product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

December 2024

Download Honeycomb.io product report

Learn More

Amazon Web Services (AWS)

Video not available

Honeycomb.io

Overview

AWS X-Ray is a powerful debugging and performance analysis tool offered by Amazon Web Services. It allows developers to trace requests made to their applications and identify bottlenecks and issues.

With X-Ray, developers can visualize the entire request flow and pinpoint the exact location where errors occur. It provides detailed insights into the performance of individual components and helps optimize the overall application performance.

X-Ray integrates seamlessly with other AWS services, making it easy to trace requests across different services and identify dependencies. It also offers a comprehensive set of APIs and SDKs, enabling developers to instrument their applications and capture valuable data for analysis. With its user-friendly interface and powerful features, AWS X-Ray is a valuable tool for developers looking to improve the performance and reliability of their applications.

Many offerings tout observability. How is Honeycomb different? We have defined what Observability is and have built a tool to help modern Dev, DevOps and Site Reliability Engineering teams operate more efficiently. Because it’s all about delivering high quality code, maintaining reliability and getting precious time back.

We made a critical decision to provide a seamless, current view of your system (from logs to events and traces) in a single data store, regardless of how complex your architecture is. This means you no longer have to toil with multiple tools or stitched-together solutions – burning time as you address issues affecting users.

We also believe strongly that optimizing systems and debugging should not be difficult and draining, freeing up more time to ship new code. Our approach emphasizes efficiency and knowledge sharing, thereby elevating everyone’s game and ultimately business outcomes.

Sample Customers

COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow

Clover Health, Eaze, Intercom, Fender

Buyer's Guide

AWS X-Ray vs. Honeycomb.io

December 2024

Free Report: AWS X-Ray vs. Honeycomb.io

Find out what your peers are saying about AWS X-Ray vs. Honeycomb.io and other solutions. Updated: December 2024.

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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.