

Grafana and Prometheus compete in the monitoring and visualization category. Grafana often has the upper hand due to its strong visualization and integration capabilities, while Prometheus is notable for its robust metric collection and flexibility.
Features: Grafana offers advanced visualization capabilities, seamless integration with multiple data sources, and extensive customization options. It excels in dashboard customizability, alerting features, and has a vibrant community support. Prometheus is praised for its robust metric collection, reliability, and the flexibility provided by its open-source model. It is admired for its powerful querying language, PromQL, and exporter integrations, which enhance its stability and metric collection capabilities.
Room for Improvement: Grafana needs improvements in security, data aggregation, and advanced reporting capabilities. Users find managing multiple dashboards challenging and desire more AI support and better API integration. Prometheus could enhance its visualization capabilities, improve documentation, and user interface. Users suggest improvements in error handling and exporter management.
Ease of Deployment and Customer Service: Grafana is deployed across on-premises and cloud environments, supported by a large community and user-generated content but lacks direct customer support for open-source users. Prometheus is deployed in various environments, including hybrid setups, benefiting from community support to aid deployments despite lacking formal technical support.
Pricing and ROI: Both Grafana and Prometheus are open-source, making them cost-effective with Grafana providing a free version and additional enterprise features. Prometheus is cost-free when self-hosted, with expenses arising from the underlying infrastructure. Both tools offer substantial ROI, with Grafana excelling in visualization and Prometheus in metric collection and flexibility.
I identified over-provisioned servers and reduced my AWS monthly bill by 15%, which is a significant saving in terms of costs.
Using open-source Prometheus saves me money compared to AWS native services.
The technical support team is very helpful with complex PromQL troubleshooting.
My advice for people who are new to Grafana or considering it is to reach out to the community mainly, as that's the primary benefit of Grafana.
I do not use Grafana's support for technical issues because I have found solutions on Stack Overflow and ChatGPT helps me as well.
Prometheus does not offer traditional technical support.
It is highly scalable and built on a big data architecture capable of ingesting trillions of data points.
In terms of our company, the infrastructure is using two availability zones in AWS.
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
Prometheus is scalable, with a rating of ten out of ten.
When something in their dashboard does not work, because it is open source, I am able to find all the relative combinations that people are having, making it much easier for me to fix.
Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
Even when handling millions of data points, the visualization layer remains responsive.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
It would be better if they made the technology easy to use without needing to read extensive documentation.
Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs.
I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.
In an enterprise setting, pricing is reasonable, as many customers use it.
The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it.
I purchased my Grafana Cloud subscription through the AWS Marketplace, which simplified my procurement process and allowed me to apply the cost towards my AWS committed spend.
Prometheus is cost-effective for me as it is free.
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
The fact that I can join data from my SQL database with metrics from Prometheus in the same table is a feature I have not found performed as well elsewhere.
Its alerting feature is effective because it allows me to set thresholds to send an email if a certain threshold is met.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
| Product | Market Share (%) |
|---|---|
| Grafana | 3.6% |
| Dynatrace | 6.6% |
| Datadog | 5.5% |
| Other | 84.3% |
| Product | Market Share (%) |
|---|---|
| Prometheus-AI Platform | 1.8% |
| IBM Maximo | 16.0% |
| Oracle Enterprise Asset Management | 7.8% |
| Other | 74.4% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
Grafana is an open-source visualization and analytics platform that stands out in the field of monitoring solutions. Grafana is widely recognized for its powerful, easy-to-set-up dashboards and visualizations. Grafana supports integration with a wide array of data sources and tools, including Prometheus, InfluxDB, MySQL, Splunk, and Elasticsearch, enhancing its versatility. Grafana has open-source and cloud options; the open-source version is a good choice for organizations with the resources to manage their infrastructure and want more control over their deployment. The cloud service is a good choice if you want a fully managed solution that is easy to start with and scale.
A key strength of Grafana lies in its ability to explore, visualize, query, and alert on the collected data through operational dashboards. These dashboards are highly customizable and visually appealing, making them a valuable asset for data analysis, performance tracking, trend spotting, and detecting irregularities.
Grafana provides both an open-source solution with an active community and Grafana Cloud, a fully managed and composable observability offering that packages together metrics, logs, and traces with Grafana. The open-source version is licensed under the Affero General Public License version 3.0 (AGPLv3), being free and unlimited. Grafana Cloud and Grafana Enterprise are available for more advanced needs, catering to a wider range of organizational requirements. Grafana offers options for self-managed backend systems or fully managed services via Grafana Cloud. Grafana Cloud extends observability with a wide range of solutions for infrastructure monitoring, IRM, load testing, Kubernetes monitoring, continuous profiling, frontend observability, and more.
The Grafana users we interviewed generally appreciate Grafana's ability to connect with various data sources, its straightforward usability, and its integration capabilities, especially in developer-oriented environments. The platform is noted for its practical alert configurations, ticketing backend integration, and as a powerful tool for developing dashboards. However, some users find a learning curve in the initial setup and mention the need for time investment to customize and leverage Grafana effectively. There are also calls for clearer documentation and simplification of notification alert templates.
In summary, Grafana is a comprehensive solution for data visualization and monitoring, widely used across industries for its versatility, ease of use, and extensive integration options. It suits organizations seeking a customizable and scalable platform for visualizing time-series data from diverse sources. However, users should be prepared for some complexity in setup and customization and may need to invest time in learning and tailoring the system to their specific needs.
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?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.
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.