Sentry AI vs Datadog AI — Comparison

Sentry AI

Application monitoring software considered 
"not bad" by millions of developers.

We're so much more than error monitoring software. We're also performance monitoring software. Our platform helps every developer diagnose, fix, and optimize the performance of their code. With Sentry, developers around the world save time, energy, and probably a few therapy sessions. Sentry supports more than 100 coding languages, which means it probably supports yours. We also integrate with a whole bunch of useful tools (and a few necessary evils), including but definitely not limited to GitHub, Slack, and Jira. (We're still waiting on our first customer in Antarctica) (That's enough to build the Golden Gate Bridge six times, if we could take that money and time travel back to 1933) The team behind Sentry built and shipped the software behind many fine brands, a short sampling of which will no doubt impress and delight you. We were occasionally useful at Dropbox. Drew pictures at GitHub. Nodded sagely during meetings at Atlassian. Sentry started out as an open-source project. Our founders' goal was straightforward: solve their own problems with an easy way to fix their own mistakes. Ten years later, their two person passion project is the world's leading error-tracking platform with 200+ employees in four offices worldwide. Okay, not everywhere. But somewhere.

Datadog AI

See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Try it for free.

Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, real-user monitoring, and many other capabilities to provide unified, real-time observability and security for our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior, and track key business metrics. Prior to founding Datadog, Olivier Pomel built data systems for K-12 teachers as a VP, Technology for Wireless Generation, where he grew the development team from a handful of people to close to 100 of the best engineers in New York until the company’s acquisition by News Corp. Before Wireless Generation, Olivier held software engineering positions at IBM Research and several internet startups. Olivier is an original author of the VLC media player and holds a MS, CS from the Ecole Centrale Paris. Prior to founding Datadog, Olivier Pomel built data systems for K-12 teachers as a VP, Technology for Wireless Generation, where he grew the development team from a handful of people to close to 100 of the best engineers in New York until the company’s acquisition by News Corp. Before Wireless Generation, Olivier held software engineering positions at IBM Research and several internet startups. Olivier is an original author of the VLC media player and holds a MS, CS from the Ecole Centrale Paris. Prior to founding Datadog, Alexis Lê-Quôc served as the Director of Operations for Wireless Generation, where he built the team and infrastructure that served more than four million students in 49 states. As a member of the original “devops” movement, Alexis spent several years as a software engineer at IBM Research, Neomeo, and Orange, and he brings a strong focus on technical elegance and operational efficiency to Datadog. Alexis holds an MS, CS from the Ecole Centrale Paris and has presented sessions on cloud monitoring and server performance at many conferences, including AWS re:Invent, Monitorama, DevOpsDays, Velocity, and PyCon. Prior to founding Datadog, Alexis Lê-Quôc served as the Director of Operations for Wireless Generation, where he built the team and infrastructure that served more than four million students in 49 states. As a member of the original “devops” movement, Alexis spent several years as a software engineer at IBM Research, Neomeo, and Orange, and he brings a strong focus on technical elegance and operational efficiency to Datadog. Alexis holds an MS, CS from the Ecole Centrale Paris and has presented sessions on cloud monitoring and server performance at many conferences, including AWS re:Invent, Monitorama, DevOpsDays, Velocity, and PyCon. David Obstler brings more than three

Sentry AI

Datadog AI

Sentry AI

Datadog AI

Sentry AI

Datadog AI