150 Datadog Testimonials

“Airbnb is a data-informed company, and [the Datadog and PagerDuty] combination gives us the ability to collect and correlate metrics from 15 different systems into Datadog dashboards, and then aggregate incidents from any system in PagerDuty and notify the right person at the right time.”

“Datadog has significantly enhanced our system stability, provided precise issue detection and alerting, and freed developers from manual monitoring tasks.”

"CustOps changed their resolution workflow with Datadog RUM. We first assess where the error is coming from using RUM dashboards. If users from a single office see slowdowns—but there are no errors on Apixio's backend—we notify the customer IT department that the issues stem from their side, without escalating to the Engineering or DevOps teams."

"Datadog’s ability to filter the exact logs we need, and retain what’s most valuable for specific time periods, has enabled us to cover everything within budget, application traces, allowing us to find and fix performance issues faster.”

"Last year, we had 250GB of log data per day - now we have 7TB of log data per day. We wouldn't have been able to scale like that with any other product, be it open source or commercial."

“It feels like we’re on the same team, not at separate companies.”

“We've seen large multi-year enterprise agreements come in, which can very much be attributed to the Datadog Marketplace. We continue to receive 30 to 40 leads per month just through our trial signups, and we're seeing even more growth as we introduce new integrations.”

“We don’t want engineers and ops to focus on creating a monitoring system when we should focus on creating new products, making the CI/CD faster, and making production more robust and scalable.”

“When every business unit is using a different tool, there’s no shared base of information.”

“Every engineer can now observe how well applications are functioning, which translates into a better service for customers who are using our trains.”

“Some of the other tools that we had looked at were focused on a single language or stack. We recognized the value that Datadog provided for the polyglot environment.”

“Before we started using Datadog, we were jumping between different tools and it was very hard and time consuming to tie the different parts of our stack together and put them in the right context to actually drive results.”

“Being in a competitive market, it’s really important to understand what our consumers are experiencing. Datadog’s traceability, durability, and intuitive UI have really helped us adopt the DevOps mindset.”

“We had so many projects going on, but didn’t have enough human resources to do everything. Scaling and customizing open source tools was simply not a top priority.”

“We’re replacing old technologies and helping them transform their monitoring and adapt to cloud environments and Kubernetes environments.”