Datadog vs Sentry: What are the differences?
Developers describe Datadog as "Unify logs, metrics, and traces from across your distributed infrastructure". Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!. On the other hand, Sentry is detailed as "Cut time to resolution for app errors from five hours to five minutes". Sentry is an open-source platform for workflow productivity, aggregating errors from across the stack in real time. 500K developers use Sentry to get the code-level context they need to resolve issues at every stage of the app lifecycle.
Datadog belongs to "Performance Monitoring" category of the tech stack, while Sentry can be primarily classified under "Exception Monitoring".
Some of the features offered by Datadog are:
- 14-day Free Trial for an unlimited number of hosts
- 200+ turn-key integrations for data aggregation
- Clean graphs of StatsD and other integrations
On the other hand, Sentry provides the following key features:
- Real-Time Updates: For the first time, developers can fix code-level issues anywhere in the stack well before users even encounter an error.
- Complete Context: Spend more time where it matters, rather than investing in low-impact issues.
"Monitoring for many apps (databases, web servers, etc)", "Easy setup" and "Powerful ui" are the key factors why developers consider Datadog; whereas "Consolidates similar errors and makes resolution easy", "Email Notifications" and "Open source" are the primary reasons why Sentry is favored.
Sentry is an open source tool with 21.4K GitHub stars and 2.45K GitHub forks. Here's a link to Sentry's open source repository on GitHub.
Airbnb, Uber Technologies, and Instagram are some of the popular companies that use Sentry, whereas Datadog is used by Airbnb, Facebook, and Spotify. Sentry has a broader approval, being mentioned in 1341 company stacks & 434 developers stacks; compared to Datadog, which is listed in 540 company stacks and 223 developer stacks.
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