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.
"It helps us better manage our logs."
"It lets us react more quickly to things going wrong. Whereas before, it might have been 30 minutes to an hour before we noticed something going on, we will know within a minute or two if something is off, which will let us essentially get something back up and running faster for our customers, which is revenue."
"We enjoy the multistep API tests."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"It has a nice UI."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"With Datadog I can look at the health of the technology stack and services."
"Stability-wise, I rate the solution a ten out of ten."
"The solution can be deployed in thirty minutes."
"It is a scalable solution."
"The good thing is it integrates well with the Grafana dashboard. It comes with a UI where you see everything as a graph."
"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 provides a flexible and adjustable querying and describing time, allowing for more responsive monitoring."
"Prometheus gives us high availability automatically."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"Geo-data is also something very critical that we hope to see in the future."
"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."
"Managing dashboards as IaC is a bit hard to work out at times."
"More granular control over dashboard sharing. Timeboard sharing."
"There is occasional UI slowness and bugs."
"Its documentation could be clearer to understand."
"If you want to collect details of metrics, you should be able to write a query for it directly. I want the product to offer better queries for the metrics."
"The DSL could be improved."
"The simplicity of the query language could be improved. The current query language is not easy to work with."
"One potential area for improvement would be fixing the occasional glitches and bugs."
"The scalability must be improved."
"The solution's error handling part could be improved."
"The UI and GUI are areas of concern in the product."
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.