We performed a comparison between Datadog and Prometheus based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Datadog offers a range of valuable features such as dashboards, error reporting, log centralization, and user-friendliness. It also provides troubleshooting and instrumentation capabilities, as well as flexibility and additional features. The interface and integrations are praised, along with its performance and infrastructure monitoring capabilities. Prometheus is highly regarded for its extensive range of APIs and libraries, flexibility in integration, and reliability as a monitoring solution. Its valuable dashboard, scalability, and fast data storage system are also commendable. Users appreciate the numerous integrations and the flexibility to tailor monitoring applications.
Users have pointed out several areas where Datadog can improve, including usability, integration, user interfaces, learning curve, organizational structure management, and customization flexibility. Prometheus users have suggested improvements in the query language, setup process, DSL and analysis tools, UI color and interface, stability, and documentation.
Service and Support: Users highly appreciate the customer service of Datadog for its quick response time and always being available to assist them. They receive immediate answers and timely support. Prometheus relies more on its documentation and online community for support, resulting in less frequent interactions with customer service.
Ease of Deployment: Users generally find the initial setup of Datadog to be simple and uncomplicated, often receiving help from service providers or technical support. Setting up Prometheus can be more complex. While some users find it easy, others note a learning curve and the necessity of online resources.
Pricing: Users find the setup cost of Datadog to be relatively high, and they recommend exploring cheaper alternatives or a free trial option. Prometheus does not require any payment for setup or licensing, making it a cost-effective choice compared to Datadog and similar options.
ROI: Some users of Datadog have mentioned time savings and fast debugging as positive results. Prometheus users have also experienced positive outcomes and ROI from their monitoring activities.
Comparison Results: Users prefer Prometheus over Datadog due to its cost-effectiveness, variety of APIs and libraries for easy integration, and flexibility. They also appreciate Prometheus's user-friendly setup, valuable features like the dashboard and metric collection, and the availability of an active online community for support.
"The many dozens of integrations that the solution brings out of the box are excellent."
"It has enhanced the performance of my team."
"The solution is sufficiently stable."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"It has saved us a lot of trouble in implementation."
"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."
"The observability on offer is the most useful aspect of the product."
"The most valuable features of the solution are metrics scraping capabilities and the open source community and support."
"The feature I found most valuable is the number of integrations. It is the industry standard for metrics."
"The product has an easy-to-understand interface."
"The solution helps us to scale our products and services, and it helps me by gathering those metrics."
"The most valuable features of Prometheus are the many functions available. The functions are helpful for understanding the behavior of applications and infrastructure."
"It is highly valuable as it serves as the foundation for our infrastructure monitoring tools."
"Prometheus is a great solution for monitoring."
"Prometheus gives us high availability automatically."
"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"More granular control over dashboard sharing. Timeboard sharing."
"I would like testing for data in the future."
"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."
"At times, it can be hard to generate metrics out of logs."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"There isn’t much clarity regarding the issues that happen at the server end. It is a push model and from the client’s point of view, it needs to look better and solve remote issues."
"If you are not quite technical, it can be pretty hard to understand the way it works and how to query data in Prometheus."
"A slight alteration to the user interface should be made to increase efficiency and streamline the process. Currently, we are utilizing Prometheus to gather and compile metrics and then utilizing Grafana to display them in the form of a graph. However, I believe that Prometheus has the capability to handle both of these tasks on its own, with perhaps the addition of a supplementary plugin. By doing so, the need for utilizing two separate applications will be eliminated."
"The alert functionality is kind of lackluster."
"The simplicity of the query language could be improved. The current query language is not easy to work with."
"Lacks the ability to clusterize."
"There is a need for a more comprehensive overview of exporters, especially when dealing with many of them."
"The solution's error handling part could be improved."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while Prometheus is ranked 9th in Application Performance Monitoring (APM) and Observability with 32 reviews. Datadog is rated 8.6, while Prometheus is rated 8.4. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Prometheus writes "A very flexible open box that can be used vastly to do anything you need". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Prometheus is most compared with Azure Monitor, New Relic, Dynatrace, Sentry and AWS X-Ray. See our Datadog vs. Prometheus report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
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.