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Prometheus-AI Platform Reviews

Vendor: Prometheus Group
4.1 out of 5
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What is Prometheus-AI Platform?

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

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Buyer's Guide
Prometheus-AI Platform
September 2025
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Helped 867,826 peers since 2012

Featured Prometheus-AI Platform reviews

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PeerResearch reports based on Prometheus-AI Platform reviews

TypeTitleDate
CategoryEnterprise Asset Management (EAM)Sep 21, 2025Download
ProductReviews, tips, and advice from real usersSep 21, 2025Download
 
 
Key learnings from peers

Valuable Features

Prometheus-AI Platform offers extensive API and library integration, valuable dashboard capabilities, scalable metrics collection, high reliability, and fast data storage. Its flexibility and customization stand out, especially with Grafana integration and remote write features. Users value its lightweight configuration, easy installation, rich feature set, and compatibility with Kubernetes. It supports multiple languages, and its ability to handle vast amounts of data efficiently makes it popular in FinTech and technology sectors. The open-source nature adds reliability and ease of extension.
  • "Prometheus is a scalable and flexible tool that I can deploy on any cloud platform."
  • "Prometheus is a scalable and flexible tool that I can deploy on any cloud platform."
  • "The resilience of the solution's metric collection is very nice."

Room for Improvement

Prometheus-AI Platform requires enhancements in query language, UI design, and user-friendliness. Users find the setup process complex. The documentation lacks clarity. Visualization and customization tools need improvements. More database exporters and better alert functionality would be beneficial. Stability issues and error handling frustrate users. Prometheus should focus on comprehensive integration capabilities, dynamic analysis, better documentation, automation features, and fixing occasional glitches. Pricing, particularly with managed services, is also a concern for many users.
  • "The initial setup of Prometheus is complex and rated one out of five in ease of setup."
  • "Improvements could be made to the user interface."
  • "There is a tool called Prometheus Exporter that doesn't work well."

ROI

Prometheus-AI Platform delivers significant financial benefits as a no-cost option. Many users report savings equivalent to several days to weeks depending on application scenarios. By offering open-source capabilities, it provides cost efficiency compared to AWS native services. Numerous users affirm experiencing a return on investment by utilizing Prometheus-AI Platform for monitoring needs.

Pricing

Prometheus-AI Platform is primarily an open-source, cost-effective solution popular among enterprises for its affordability and flexibility. Most organizations leverage the free, open-source version, which incurs no licensing fees when self-hosted. Alternatively, a paid version and managed services like Amazon Managed Prometheus are available for those preferring fully managed solutions. When compared to competitors like New Relic or Datadog, Prometheus is often considered more budget-friendly, making it an attractive choice.
  • "Prometheus is an open-source tool."
  • "Prometheus is an open-source solution."
  • "It is an open-source tool."

Popular Use Cases

Prometheus-AI Platform is primarily used for monitoring and analyzing metrics and logs in cloud environments, including Azure and Kubernetes. Users collect data for infrastructure and application performance, integrating it with Grafana for visualization. The platform supports both on-premises and cloud deployments, enabling businesses to monitor servers, databases, and virtual machines. Users benefit from a holistic view of application performance, facilitating efficient management and real-time alerts for infrastructure and application issues.

Service and Support

Prometheus-AI Platform relies heavily on its comprehensive documentation and active open source community for customer service and support. Users find valuable assistance through online forums and community interactions. Despite the absence of traditional customer support, the community effectively addresses queries. Many users' internal teams manage any assistance necessary, leveraging resources such as documentation and forums. The community support is deemed effective, leading to positive perceptions from companies who engage with Prometheus-AI Platform.

Deployment

Prometheus-AI Platform's initial setup varies based on user experience and specific requirements. Some find it straightforward and quick, especially with good documentation or using managed services. Organizations with complex needs face a steeper learning curve and longer deployment times. Familiarity with Helm, Unix, or Kubernetes aids ease. While basic configuration is often uncomplicated, extensive customization and understanding configuration intricacies can add complexity, particularly for non-managed implementations.

Scalability

Prometheus-AI Platform receives positive feedback for its scalability. Multiple companies effectively use it across diverse applications, often with hundreds of users. Many organizations manage scalability effectively with a small team. Some integration with other open-source projects enhances scalability. Users find it suitable for enterprise needs, capable of scaling in challenging environments, including cloud setups. Ratings often rank its scalability highly, indicating strong confidence in its ability to meet varying demands.

Stability

Prometheus-AI Platform is consistently stable, rated often between eight to ten out of ten. Occasional issues arise, mainly due to external factors like infrastructure limitations, high CPU usage, or Kubernetes configurations. Users manage these promptly, maintaining its high dependability. Proper deployment enhances performance across multiple servers and dashboards. Adjusting metrics collection and resource allocation can mitigate challenges and improve results, ensuring efficient monitoring and reporting for related systems.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
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Review data by company size

By reviewers
Company SizeCount
Small Business14
Midsize Enterprise8
Large Enterprise12
By reviewers
By visitors reading reviews
Company SizeCount
Small Business171
Midsize Enterprise116
Large Enterprise515
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
14%
Manufacturing Company
6%
Government
6%
Comms Service Provider
5%
Retailer
4%
University
4%
Media Company
3%
Healthcare Company
3%
Educational Organization
3%
Energy/Utilities Company
3%
Insurance Company
2%
Performing Arts
2%
Recreational Facilities/Services Company
2%
Outsourcing Company
2%
Construction Company
2%
Hospitality Company
2%
Non Profit
2%
Real Estate/Law Firm
1%
Legal Firm
1%
Recruiting/Hr Firm
1%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Transportation Company
1%
Marketing Services Firm
1%
Engineering Company
1%
Pharma/Biotech Company
1%

Learn more about Prometheus-AI Platform

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-AI Platform was previously known as Utopia Data Quality.

Prometheus-AI Platform customers

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

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Product Categories

Product Categories
Enterprise Asset Management (EAM)
Data Scrubbing Software
ERP
 
Prometheus-AI Platform Reviews Summary
Author infoRatingReview Summary
Senior DevOps Engineer at Alibaba Group4.0I use Prometheus for IT infrastructure monitoring, especially in Kubernetes environments. Its scalability and flexibility across cloud platforms save me money compared to AWS services. However, an improved user interface would ease setup and management for beginners like me.
Head of Operations Engineer at RayanHamAfza4.0I use Prometheus to monitor application metrics and contact developers to integrate it. It's effective for collecting extensive metrics across environments, though deploying Thanos is difficult. Dashboards are helpful, but native alternatives to Thanos would improve it.
Head of Global IT Operations at a financial services firm with 501-1,000 employees4.0We are a FinTech institution using Prometheus for monitoring applications within a hybrid infrastructure. Its flexibility and customization enhance our development process, though setup can be challenging for new users. It's essential alongside other tools like New Relic and Datadog.
Senior Software Engineer at SumUp4.0I use Prometheus for observability and analyzing metrics, which helps with business and system insights, especially for Kubernetes. Its metric collection is robust, but Prometheus Exporter struggles with Cron job metrics, affecting overall effectiveness.
DevOps Engineer at Bipolar Factory4.0I use Prometheus as a data source for Grafana in a Kubernetes environment to monitor processes on Amazon EKS. Although it's an open-source alternative to Amazon CloudWatch, Prometheus needs a more user-friendly UI and enhanced GUI features.
Cloud Engineer at DotBlack Projex4.5I use Prometheus for monitoring and alerting, which helps me identify and resolve system issues proactively, reducing downtime. Although deployment can be challenging without CI/CD experience, studying beforehand makes it manageable. Overall, setup and usage are easy.
Head Of Operations at Wipro Limited4.0I use Prometheus for monitoring, paired with Grafana for dashboards. Its integration allows us to track metrics like CPU and memory use effectively. Although reliable, I wish for more automation in future updates for improved metric collection.
Senior Devops Engineer at a tech services company with 201-500 employees4.5I use Prometheus for monitoring microservices, utilizing its valuable metrics feature and blackbox exporter. However, setting up rules can be confusing. I've previously used Grafana and am involved with Terraform as an open-source contributor.