AWS X-Ray vs Prometheus-AI Platform comparison

Application Performance Monitoring (APM) and Observability

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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

AWS X-Ray

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (19th)

Prometheus-AI Platform

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Scrubbing Software (6th), ERP (24th), Enterprise Asset Management (EAM) (7th)

Mindshare comparison

AWS X-Ray and Prometheus-AI Platform aren’t in the same category and serve different purposes. AWS X-Ray is designed for Application Performance Monitoring (APM) and Observability and holds a mindshare of 1.2%, down 3.3% compared to last year.
Prometheus-AI Platform, on the other hand, focuses on Enterprise Asset Management (EAM), holds 1.9% mindshare.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
AWS X-Ray	1.2%
Dynatrace	5.3%
Datadog	4.6%
Other	88.9%

Application Performance Monitoring (APM) and Observability

Enterprise Asset Management (EAM) Mindshare Distribution
Product	Mindshare (%)
Prometheus-AI Platform	1.9%
IBM Maximo	11.9%
Oracle Enterprise Asset Management	6.7%
Other	79.5%

Enterprise Asset Management (EAM)

Featured Reviews

Allan Møller

Consult Manager at Conscia

Provides quick insights into service interactions and identifies bottlenecks effortlessly

The challenges we faced with AWS X-Ray were that some of the AWS services we were using did not support it, which we discovered at a later stage. This was potentially a design consideration we should have known about, requiring us to redeploy some services in another SKU version to get it functioning. This is the only challenge, as AWS X-Ray is relatively new. It is important to consider that not all AWS services support it out of the box. My recommendation for AWS X-Ray would be broader support. We have been working in a relatively small area of AWS, using approximately six or seven services, so I have not explored all other available services. In general, the more services it supports, the better it would be. AWS X-Ray should be able to support more services for improved functionality.

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MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

Free to use and provides valuable monitoring capabilities

Prometheus is a scalable and flexible tool that I can deploy on any cloud platform. It is free to use and provides valuable monitoring capabilities. It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus. The ability to deploy on any cloud platform or environment, including Kubernetes, is a major advantage.

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

"AWS X-Ray shows us exactly when there are delays, helping us understand the depth of issues and what is happening point-to-point."

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

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

"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."

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

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

"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."

More AWS X-Ray pros

"The feature I found most valuable is the number of integrations. It is the industry standard for metrics."

"The dashboard is very valuable."

"The solution helps us to scale our products and services, and it helps me by gathering those metrics."

"It has lots of APIs and libraries to integrate with any kind of language, including Python, Perl, PHP, Java, and Kotlin."

"The most valuable feature is that we can receive information in different formats."

"The product’s scalability is valuable."

"The most valuable features of Prometheus are the many functions available. The functions are helpful for understanding the behavior of applications and infrastructure."

"The scalability of Prometheus is very good."

More Prometheus-AI Platform pros

Cons

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

"The challenges we faced with AWS X-Ray were that some of the AWS services we were using did not support it, which we discovered at a later stage."

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

"AWS X-Ray should improve its implementation process to make it easier for developers."

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

"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."

"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."

More AWS X-Ray cons

"Its stability could be even better."

"When it comes to deployment, if you have no experience with something like a CI/CD pipeline, it might be a challenge."

"They could provide efficient logs in terms of clarity and ease of access similar to Datadog’s paid version."

"The scalability must be improved."

"If you are not quite technical, it can be pretty hard to understand the way it works and how to query data in Prometheus."

"Improvements could be made to the user interface."

"There is a tool called Prometheus Exporter that doesn't work well."

"Its documentation could be clearer to understand."

More Prometheus-AI Platform cons

Pricing and Cost Advice

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

"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."

"Prometheus is an open-source tool."

"The product is expensive compared to Datadog."

"This is an open-source solution."

"Prometheus is an open-source solution."

"The solution is not expensive."

"We have the open-source version, so we don't pay for it."

"It is an open-source tool."

"The solution is open source."

More Prometheus-AI Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

10%

Comms Service Provider

Manufacturing Company

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	8
Large Enterprise	13

Questions from the Community

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

While I have not compared it with GCP or Azure ( /products/microsoft-azure-reviews ), AWS generally offers cost-effective services. Some services, like Athena ( /products/odyssey-software-athena-eo...

What needs improvement with AWS X-Ray?

What is your primary use case for AWS X-Ray?

I have been using AWS X-Ray for creating insights to our applications we have developed. It is used to correlate different services in AWS when a transaction happens, allowing us to see the flow of...

What is your experience regarding pricing and costs for Prometheus?

Prometheus is cost-effective for me as it is free. Using cloud-native alternatives like Amazon Prometheus would incur charges.

What is your primary use case for Prometheus?

I use Prometheus for monitoring purposes in IT infrastructure. It is particularly useful for environments using Kubernetes, as it monitors ports, containers, instances, and applications effectively.

What advice do you have for others considering Prometheus?

As a new user, I should be familiar with syntax and commands. Online resources like Google and ChatGPT can be helpful. I should consider using cloud-native tools for ease of management if not using...

Google Cloud's operations suite (formerly Stackdriver) vs AWS X-Ray

Comparisons

Datadog vs AWS X-Ray

Compared 8% of the time

Sentry vs AWS X-Ray

Compared 8% of the time

Compared 8% of the time

New Relic vs AWS X-Ray

Compared 7% of the time

Elastic Observability vs AWS X-Ray

Compared 2% of the time

More AWS X-Ray Competitors

Dynatrace vs Prometheus-AI Platform

Compared 4% of the time

Grafana vs Prometheus-AI Platform

Compared 4% of the time

SolarWinds Server and Application Monitor vs Prometheus-AI Platform

Compared 4% of the time

Apache SkyWalking vs Prometheus-AI Platform

Compared 4% of the time

Azure Monitor vs Prometheus-AI Platform

Compared 4% of the time

More Prometheus-AI Platform Competitors

Product Reports

AWS X-Ray

Download AWS X-Ray product report

Prometheus-AI Platform

Download Prometheus-AI Platform product report

Also Known As

No data available

Utopia Data Quality

Overview

AWS X-Ray offers comprehensive visibility into service flow, aiding in error tracking and regulatory compliance. It enhances performance tuning and real-time tracing, allowing users to effectively analyze, debug, and monitor microservices environments.

AWS X-Ray is leveraged to correlate data effortlessly and analyze logs, providing insightful service flow visibility. It aids in debugging and meeting compliance standards. Users rely on it for identifying bottlenecks, real-time issue tracing, and monitoring latency and endpoints via performance dashboards. While integration is smooth, enhancements in navigation and broader AWS service support are needed. Improving log filtering, KPI visualization, and integration with external APIs would benefit deployments. Costs and configuration complexities also present areas for improvement.

What are the key features of AWS X-Ray?

Error Tracking: Correlating data automatically for streamlined error identification.
Service Flow Visibility: Comprehensive insights into service interactions and performance.
Performance Tuning: Identifying bottlenecks and optimizing application performance.
Real-Time Tracing: Effective tracing of requests and issues in real-time.
Latency Checks: Monitoring latency across services to ensure prompt response times.

What benefits should users look for in AWS X-Ray?

Efficient Debugging: Streamlined debugging leading to faster issue resolution.
Compliance Support: Assistance in achieving regulatory and security compliance standards.
Insightful Metrics: Access to trace metrics for detailed analysis and decision-making.
Performance Monitoring: Comprehensive monitoring capabilities for system performance.
Cost Management: Analysis of costs associated with tracing and monitoring.

Organizations in microservices environments use AWS X-Ray to gain insight into system behavior by tracing HTTP requests, monitoring performance, and identifying vulnerabilities. It is integrated with other AWS tools to enhance performance monitoring and code execution analysis, ensuring efficient detection of errors and improvement opportunities.

Amazon Web Services (AWS)

Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.

Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.

What are Prometheus-AI Platform's main features?

Flexibility: Adaptable to various environments and needs.
Grafana Integration: Enables detailed dashboard visualizations.
Scalability: Efficient in scaling to meet large data demands.
API Support: Extensive API capabilities for custom solutions.
Open-source: Community support and continual adaptation.
Lightweight Configuration: Simplifies deployment and management.
Query and Storage: Powerful capabilities for effective metric handling.

What benefits should users consider when evaluating Prometheus-AI Platform?

Performance Insights: Accurate metric analysis boosts performance tracking.
Comprehensive Monitoring: Offers full visibility into infrastructure and applications.
Customization: API and open-source flexibility for tailored solutions.
Community Support: Benefits from a broad support network.
Cost-effectiveness: Efficient handling of data reduces operational expenses.

Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.

Prometheus Group

Sample Customers

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

Harley-Davidson Motor Company, Roche Diagnostics Corporation, Harman International Industries Inc., Hilmar Cheese Company, International Rectifier Corporation, Electrolux USA, GE Fanuc Intelligent Platforms, Rio Tinto Limited, Pertamina Pusat, Petrofac International Ltd, Cintas Corporation, Diyar United Company, Nortel Networks, Verizon

Application Performance Monitoring (APM) and Observability