Datadog is the better pick when a team wants infrastructure and application monitoring in one platform, alongside log management and security coverage. Sentry is sharper for application errors: stack traces include local variable values, and session replay can be tied to an error. Datadog wins because its monitoring coverage reaches further across a cloud stack, while Sentry's strongest details stay close to application debugging.
Side-by-Side Comparison
| Feature | Datadog | Sentry |
|---|---|---|
| Free tier | Free available | Free available |
| Paid price | $15.00 USD/mo | $26.00 USD/mo |
| Infrastructure Monitoring | — | |
| Apm | — | |
| Log Management | — | |
| Real User Monitoring | — | |
| Synthetic Monitoring | — | |
| Security Monitoring | — | |
| Alerting | ||
| Anomaly Detection | — | |
| Self Hosted | Enterprise only | |
| Free Trial Days | 14 | — |
| Error Tracking | — | |
| Performance Monitoring | — | |
| Session Replay | — | |
| Source Maps | — | |
| Release Tracking | — | |
| Data Retention | — | 14-90 days by plan |
| Sdk Languages | — | 100+ languages |
| Sso | — | Business+ |
| Score | 8/10 | 8/10 |
Datadog
8
Sentry
8
Runner-up
Datadog wins for teams monitoring infrastructure alongside their applications. Its listed coverage runs from host metrics through application tracing, with log and security coverage plus real-user and synthetic monitoring. Sentry fits better when the main job is investigating errors and tracking their release impact.
Pricing
Datadog's free plan covers five hosts with one-day metric retention, while log ingestion remains limited. The Pro plan bills per host annually, with an on-demand option, and extends metric retention to 15 months. Its catalog lists more than 750 integrations. Costs vary by enabled product and usage: infrastructure and APM have separate charges, while logs and real-user monitoring add product-specific billing, so enabling more signals can make the total difficult to forecast.
Sentry's Developer plan gives one user a monthly limit of 5,000 errors, alongside performance monitoring and session replay. Team raises that allowance to 50,000 errors per month and removes the user cap, with 14-day data retention and pay-as-you-go overages. The event-based plan is easier to map to error volume than Datadog's multi-product bill, but a busy service can push costs up. If a paid plan reaches its quota without overages enabled, Sentry drops further events, so ingestion stops at the limit.
The free plans measure different things, so their headline quotas are not directly comparable: Datadog meters hosts and short metric retention, while Sentry meters error events and users. Estimate host count and event volume before treating either free tier as representative of production costs.
Features and Workflow
Datadog's advantage is how much ground it covers. Its feature set extends from infrastructure monitoring into APM and log management, while also covering real-user monitoring and security. Teams can add synthetic monitoring and use alerting or anomaly detection across the platform. The product data lists more than 750 integrations, giving teams a way to connect common services without assembling separate monitoring tools. APM trace-to-log correlation links an application trace with related log data, while anomaly detection and forecasting can work without manually setting thresholds. For an incident spanning hosts and application behavior, that linkage gives teams a broader place to investigate.
Sentry keeps investigation close to code. A stack trace includes local variable values and the line that threw, so an exception carries context beyond its message. Release tracking can identify which deploy introduced a regression. Session replay links a video-like reproduction to an error, while performance traces follow slow transactions across services. SDKs cover more than 100 languages and frameworks. That gives developers detailed paths from symptom to source, while Sentry's documented feature set stays focused on errors and application performance rather than Datadog's infrastructure and security range.
Who Each Product Suits
Choose Datadog when monitoring crosses roles or when infrastructure and application signals need shared context. Its integration count and Pro metric retention suit teams that need broad service connections and longer metric history, though per-host and per-product charges demand deliberate usage choices. The free tier's five-host cap and one-day retention make it a poor proxy for ongoing production cost.
Choose Sentry when the monitoring work begins with code exceptions and extends into release regressions. Stack context plus linked session replay turns a captured error into a useful debugging lead, while release tracking helps identify a deploy associated with a regression. The Developer plan grants one user 5,000 errors per month for free, but teams that need more users should plan for Team and decide whether quota overages suit their traffic.