Chronosphere 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

Chronosphere

Average Rating

9.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (32nd), Log Management (31st), AIOps (19th)

Prometheus-AI Platform

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Scrubbing Software (3rd), ERP (10th), Enterprise Asset Management (EAM) (2nd)

Mindshare comparison

Chronosphere and Prometheus-AI Platform aren’t in the same category and serve different purposes. Chronosphere is designed for Application Performance Monitoring (APM) and Observability and holds a mindshare of 0.7%, up 0.3% compared to last year.
Prometheus-AI Platform, on the other hand, focuses on Enterprise Asset Management (EAM), holds 1.7% mindshare.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Chronosphere	0.7%
Dynatrace	6.3%
Datadog	5.3%
Other	87.7%

Application Performance Monitoring (APM) and Observability

Enterprise Asset Management (EAM) Market Share Distribution
Product	Market Share (%)
Prometheus-AI Platform	1.7%
IBM Maximo	15.4%
Oracle Enterprise Asset Management	8.5%
Other	74.4%

Enterprise Asset Management (EAM)

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.

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 alerting features are good"

"It is a stable solution...Based on the feedback I have received from my colleagues in our company's IT department, the setup phase of the solution is relatively easy."

"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 most valuable feature of Prometheus is the ease of pulling the metrics."

"Stability-wise, I rate the solution a ten out of ten."

"The best thing about Prometheus is its integration."

"It lets me proactively identify and resolve system issues. This, in terms of, most of the time, really reduces downtime. Because when there are notifications on time when we engage it quickly on time, our downtime is highly reduced. So basically, Prometheus is for monitoring and alerting."

"It is an efficient solution."

More Prometheus-AI Platform pros

Cons

"It's not easy for everyone."

"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."

"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."

"Lacks the ability to clusterize."

"The product must improve its documentation."

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

"There is a need for a more comprehensive overview of exporters, especially when dealing with many of them."

"The UI and GUI are areas of concern in the product."

"Improvements could be made to the user interface."

More Prometheus-AI Platform cons

Pricing and Cost Advice

Information not available

"My company uses the open-source version of the product."

"The solution is free of cost."

"The solution is open source."

"The product is expensive compared to Datadog."

"The product is free."

"Prometheus is an open-source tool."

"The tool is open-sourced."

"The solution is not expensive."

More Prometheus-AI Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Transportation Company

16%

Retailer

11%

Computer Software Company

10%

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What needs improvement with Chronosphere?

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...

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...

What do you like most about Prometheus?

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

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.

Splunk Observability Cloud vs Chronosphere

Comparisons

Datadog vs Chronosphere

Compared 16% of the time

Compared 15% of the time

Cribl vs Chronosphere

Compared 9% of the time

Dynatrace vs Chronosphere

Compared 8% of the time

Grafana vs Chronosphere

Compared 7% of the time

More Chronosphere Competitors

Grafana vs Prometheus-AI Platform

Compared 6% of the time

Dynatrace vs Prometheus-AI Platform

Compared 6% of the time

Apache SkyWalking vs Prometheus-AI Platform

Compared 5% of the time

Amazon OpenSearch Service vs Prometheus-AI Platform

Compared 5% of the time

SolarWinds Server and Application Monitor vs Prometheus-AI Platform

Compared 4% of the time

More Prometheus-AI Platform Competitors

Product Reports

Application Performance Monitoring (APM) and Observability

Download Chronosphere product report

Prometheus-AI Platform

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

Application Performance Monitoring (APM) and Observability