Chronosphere vs Prometheus-AI Platform comparison

The compared Chronosphere and Prometheus Group solutions aren't in the same category. Chronosphere is ranked #33 in APM , with an average rating of 9.0, and holds a 0.5% mindshare in the category. Prometheus Group is ranked #2 in EAM , with an average rating of 8.5. Additionally, 100% of Chronosphere users are willing to recommend the solution, compared to 100% of Prometheus Group users who would recommend it.

Chronosphere

Read 1 Chronosphere review

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768 Comparison Views

100% willing to recommend

Prometheus-AI Platform

Read 34 Prometheus-AI Platform reviews

4,877 Views
0 Comparison Views

100% willing to recommend

Chronosphere

Prometheus-AI Platform

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Executive SummaryUpdated on Sep 21, 2025

Prometheus-AI Platform and Chronosphere are competing in the AI and monitoring landscape, focusing on efficiency and comprehensive service delivery. Prometheus-AI Platform has an edge with its competitive pricing and superior customer support while Chronosphere impresses with its advanced feature set.

Features: Prometheus-AI Platform offers robust alerting, query capabilities, and flexibility in custom metrics tracking. It is known for seamless integration. Chronosphere provides high scalability, advanced data granularity, and enhanced visualization tools, ensuring precision in monitoring.

Ease of Deployment and Customer Service: Prometheus-AI Platform ensures a straightforward deployment process with guided onboarding and comprehensive support. Chronosphere supports dynamic environments with an efficient deployment architecture but its customer service, though efficient, is not rated as highly as Prometheus-AI's accessible and responsive service.

Pricing and ROI: Prometheus-AI Platform is cost-effective for small to medium enterprises, offering quick ROI with its pricing model. Chronosphere involves higher initial costs but offers significant ROI through advanced analytics capabilities, justifying the expense for those valuing feature depth over cost.

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

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Application Performance Monitoring (APM) and Observability

September 2025

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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

Chronosphere

Average Rating

9.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (33rd), Log Management (29th), AIOps (17th)

Prometheus-AI Platform

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Scrubbing Software (2nd), ERP (11th), Enterprise Asset Management (EAM) (2nd)

Featured Reviews

Arvind Pant

Senior Data Engineer at DoorDash, Inc.

Monitors pipelines with real-time alerts and good documentation

It isn't very easy. It's not easy for everyone. It would be much easier if there could be a simpler version, like a data number version or an SQL version. It's hard to debug if you don't know the syntax. Also, I saw the Slack alerts feature, which is pretty cool, but I cannot customize my messages on the Slack alerts. It would be great if it were possible to tag people in the alerts. At DoorDash, we have hundreds of pipelines, and if something fails, I want to tag specific people so they can start working on the issue immediately.

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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.

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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 alerting features are good"

"The sky is the limit because the solution is a flexible open box that can be used vastly to do anything you need to monitor applications."

"Prometheus is a great solution for monitoring."

"The solution offers an easy way to install and scratch values."

"Prometheus provides a flexible and adjustable querying and describing time, allowing for more responsive monitoring."

"It has lots of APIs and libraries to integrate with any kind of language."

"Prometheus gives us high availability automatically."

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

"The product’s scalability is valuable."

More Prometheus-AI Platform pros

Cons

"It's not easy for everyone."

"The solution's error handling part could be improved."

"Its documentation could be clearer to understand."

"Prometheus can be initially difficult for users since it has its query language, PromQL. The minimalistic interface is complicated to understand. They need to improve their interface so that users who don't know PromQL can also use it. You can only leverage the tool when you know PromQL."

"Improvements could be made to the user interface."

"The product must improve its documentation."

"The primary area where Prometheus could be improved is in terms of pricing, particularly when used with managed services."

"The alert functionality is kind of lackluster."

"Prometheus has a learning curve when setting it up. It definitely requires a little bit more hands-on than other solutions. It is an open source solution which means you do need to go through and read the literature that they have online for setting it up. The setup could be made easier."

More Prometheus-AI Platform cons

Pricing and Cost Advice

Information not available

"Prometheus is available as an open-source product."

"The product is expensive compared to Datadog."

"It is an open-source tool."

"The price of Prometheus is good, it is affordable because it is open source and there is no cost to it. You put it on your own server and the costs incurred completely depend on how you set it up."

"Prometheus is an open-source solution."

"This is an open-source solution."

"Prometheus is an open-source tool."

"The solution is free of cost."

More Prometheus-AI Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Retailer

16%

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

10%

Financial Services Firm

23%

Computer Software Company

14%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	8
Large Enterprise	12

Questions from the Community

What needs improvement with Chronosphere?

See all answers

What is your primary use case for Chronosphere?

I work as a data engineer, and we have many streaming pipelines. We use Chronosphere to monitor various metrics, such as how much data our pipeline is processing in each batch, the volume of incomi...

See all answers

What advice do you have for others considering Chronosphere?

If you want to monitor pipelines and use something like Kafka or any streaming platform, Chronosphere is the best option for monitoring pipelines with real-time alerts. It is loosely coupled with y...

See all answers

What do you like most about Prometheus?

The most valuable feature of Prometheus is its ability to collect metrics.

See all answers

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.

See all answers

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.

See all answers

Comparisons

Datadog vs Chronosphere

Compared 29% of the time

Splunk Observability Cloud vs Chronosphere

Compared 26% of the time

Honeycomb Enterprise vs Chronosphere

Compared 19% of the time

Grafana vs Chronosphere

Compared 18% of the time

Observe vs Chronosphere

Compared 8% of the time

More Chronosphere Competitors

Zabbix vs Prometheus-AI Platform

Compared 9% of the time

Azure Monitor vs Prometheus-AI Platform

Compared 7% of the time

Apache SkyWalking vs Prometheus-AI Platform

Compared 7% of the time

Dynatrace vs Prometheus-AI Platform

Compared 7% of the time

Sentry vs Prometheus-AI Platform

Compared 6% of the time

More Prometheus-AI Platform Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

September 2025

Download Chronosphere product report

Buyer's Guide

Prometheus-AI Platform

October 2025

Download Prometheus-AI Platform product report

Also Known As

No data available

Utopia Data Quality

Overview

Chronosphere provides a robust platform for managing and monitoring cloud-native applications with features like real-time observability, incident management, and capacity planning. It offers scalable, detailed observability across complex systems, an intuitive interface, and cost-efficient resource management. Users report enhanced productivity, improved collaboration, and better decision-making, bolstering operational capabilities and organizational growth.

Chronosphere

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

Information Not Available

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

Buyer's Guide

Application Performance Monitoring (APM) and Observability

September 2025

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