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.
"Datadog helps us detect issues early on and helps in troubleshooting."
"The solution is useful for monitoring logs."
"The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"The most valuable aspect is for us to have everything in one place."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"The solution can be deployed in thirty minutes."
"Stability-wise, I rate the solution a ten out of ten."
"It is a scalable solution."
"Prometheus is an open-source product that helps mold and improve it per our requirements. It is a lightweight solution that gives you many different metrics you can use in your application. The product offers complete granularity of your infrastructure. It integrates seamlessly with other tools like Grafana, which offers dashboard visibility. Prometheus is an extensively used product. I haven't seen any organization that is not using it."
"The most valuable feature is that we can receive information in different formats."
"The solution helps us to scale our products and services, and it helps me by gathering those metrics."
"It has lots of APIs and libraries to integrate with any kind of language."
"The good thing is it integrates well with the Grafana dashboard. It comes with a UI where you see everything as a graph."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"We need a lot of modules since we collect all data logs from all operating systems."
"Billing should be more transparent."
"Alerting timing should be improved to be more fine-tuned and exact."
"The product needs a better Datadog agent installation."
"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."
"Datadog could have a better business analysis module."
"Lacks the ability to clusterize."
"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."
"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."
"The setup process could be more straightforward."
"The solution's error handling part could be improved."
"I would like to see improvement in the analysis tools and customization features."
"Its stability could be even better."
"Prometheus requires improvement on the query side."
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.