Sentry vs Datadog: Error Tracking Depth or a Full Monitoring Suite

Prices and facts checked on vendor pages on Nov 8, 2026.

Sentry is built around error tracking and sells tracing, logs, session replay and a debugging agent alongside it. Datadog sells infrastructure monitoring, APM, logs, RUM, security and Error Tracking as separate products. The core difference is where each one is deepest: Sentry on the code-level view of a failure, Datadog on the infrastructure and services underneath it.

The Short Answer

Pick Sentry when developers are the main users and the question is "which release broke which line of code, for which users." It is cheap to start and priced per event rather than per host. Pick Datadog when you also need host and container monitoring, security, and one place for ops and developers, and you can pay for several metered products.

Sentry vs Datadog at a Glance

How Sentry Charges

Sentry's pricing page lists Developer ($0, one user), Team ($26 per month billed annually), Business ($80) and Enterprise (custom). Team includes 50k errors, 5M spans, 5 GB of logs, 5 GB of application metrics and 50 replays, with unlimited users. These are list prices checked Nov 8, 2026.

Beyond the included volume you either reserve more at a discount or set a pay-as-you-go budget. On Team, errors from 50k to 100k are $0.00029 each reserved or $0.0003625 pay-as-you-go. From 100k to 500k they are $0.000175 or $0.0002188. Spans above 5M are $0.0000016 reserved or $0.000002 pay-as-you-go. Replays above 50 start at $0.003 reserved. Logs above 5 GB cost $0.50 per GB, and only through the pay-as-you-go budget.

Sentry's docs state that data sent after you exhaust your reserved volume and budget is dropped, so a spike can cost you visibility rather than money. Seer is billed separately at $40 per active contributor per month, defined as someone who makes two or more PRs to a Seer-enabled repository.

How Datadog Charges

Datadog's list prices, also checked Nov 8, 2026, put Error Tracking on its own meter: $25 for the first 50k errors per month on annual billing, then $0.25 per 1k from 50k to 100k, $0.21 per 1k from 100k to 500k, and lower tiers above that. Month-to-month the first tier is $30.

The rest is metered by product. APM is $31 per host, Infrastructure Pro is $15 per host, and RUM starts at $0.15 per 1,000 sessions for full-traffic measurement, with $3 per 1,000 filtered sessions to investigate and $2.50 per 1,000 for Session Replay. Log ingestion is $0.10 per GB, and indexed events run $1.06 to $2.50 per million depending on retention. None of these rows is priced per user.

A Worked Error Example

Assume 200,000 errors per month, Datadog on annual billing, and Sentry Team with reserved volume. The figures exclude the hosts, APM, RUM and replays that produce or accompany the errors.

At this volume the two are within a few dollars. The real cost difference comes from what else you buy: Sentry's plan covers unlimited users, while Datadog's total grows with each host and product you add. Datadog also drops excluded issues from billing: its docs say EXCLUDED issues stop collecting errors and no longer count toward usage.

Error Tracking and Debugging

Both tools group similar events into issues and track when an issue first appeared, how often it recurs and who it affects. Sentry's pricing page lists suspect commits, ownership rules and release health as standard features, and its structured logs are trace-connected, so you can jump from a log line to the trace and errors around it.

Datadog's Error Tracking draws errors from Browser and Mobile SDKs, and from logs, traces and RUM events you already send. For backend errors, Exception Replay and local variable capture attach variable values to errors, and standalone, APM-based and log-based setups are all supported.

On AI, Seer can root-cause issues, propose fixes and open PRs on GitHub.com or GitLab.com repositories, and it reviews code before merge. Datadog's Bits Investigation is an autonomous agent that works from monitors and telemetry across the product, aimed at on-call engineers.

Deployment and OpenTelemetry

Sentry's web app code is under the Functional Source License, its SDKs are MIT, and it says it aims for no feature gap between SaaS and self-hosted. Datadog is SaaS, with BYOC Logs as the one product that runs in your infrastructure.

For OpenTelemetry, Sentry ingests traces and logs over OTLP in open beta and does not accept OTLP metrics. If metrics are central to your instrumentation, that matters. Datadog accepts all three signals through its Agent or Collector paths.

When to Pick Sentry

• Your main need is catching and fixing application errors, with release and commit context.
• You want unlimited users and a small entry price without host-based licensing.
• You want an AI agent that opens fixes against your repository.
• You may want to self-host.

When to Pick Datadog

• You need infrastructure, container and network monitoring alongside application errors.
• Your traces, logs and metrics already live in Datadog and you want errors beside them.
• You need RUM, Synthetics, security and incident tooling in one contract.
• You want standalone backend Error Tracking tied to the rest of the Datadog UI.

Where Sazabi Fits

Sazabi is AI-native observability and security that can run beside either tool. A multiplexed Sentry transport can send events to both Sentry and a Sazabi DSN, and its agent investigates in Slack and opens issues from the logs it receives. Sazabi's Browser and React Native SDKs capture errors, console output, network calls with trace context, user interactions, navigation and session identity from web and mobile apps. They do not capture Core Web Vitals or session replay. To see how it compares one-on-one, read Sazabi vs Sentry and Sazabi vs Datadog, or browse Sentry alternatives and the Sentry integration.

Frequently Asked Questions

Is Sentry or Datadog better for error tracking?

Sentry is built around error tracking, with SDKs, issue grouping, suspect commits and the Seer debugging agent. Datadog Error Tracking is one product inside a larger suite and ingests errors from RUM, APM traces and logs. If errors are your main problem and you have no Datadog footprint, Sentry is the narrower tool. If your hosts and traces are already in Datadog, its Error Tracking keeps errors next to them.

Is Sentry cheaper than Datadog?

For errors alone the list prices are close. At 200,000 errors a month, Datadog Error Tracking on annual billing is $58.50 and Sentry Team with reserved volume is $58.00, before the hosts, APM or replays that surround the errors. Sentry Team also includes unlimited users. The gap widens or flips depending on which other products you buy.

Can I self-host Sentry or Datadog?

Sentry publishes its code under the Functional Source License and has a self-hosted option, and says it aims for no feature difference with SaaS. Datadog is delivered as SaaS; only its BYOC Logs product runs in your own infrastructure.

Can I use Sentry and Datadog together?

Yes. Many teams run Datadog for infrastructure and APM and keep Sentry SDKs for application errors. Sentry accepts OpenTelemetry traces and logs over OTLP, but not OTLP metrics.

Sources

1. Developer, Team ($26 per month annual), Business and Enterprise plans; included errors, logs, spans, replays; data retention lookback; Seer add-on at $40 per active contributor per month (accessed Nov 8, 2026)
2. Per-error, per-span, per-replay and per-GB rates for reserved and pay-as-you-go volume, Seer billing, and that data over your reserved volume and PAYG budget is dropped (accessed Nov 8, 2026)
3. Sentry groups similar events into issues by fingerprint; quota is consumed by events, not issues (accessed Nov 8, 2026)
4. Seer features: Autofix, PR creation, Seer Agent and Code Review; supports GitHub.com and GitLab.com (accessed Nov 8, 2026)
5. Sentry ingests OpenTelemetry traces and logs over OTLP (open beta) and does not support OTLP metrics (accessed Nov 8, 2026)
6. Sentry structured logs are trace-connected and viewable alongside errors (accessed Nov 8, 2026)
7. Sentry web app code uses FSL-1.1-Apache-2.0; SDKs use MIT; stated goal of no feature difference between SaaS and self-hosted (accessed Nov 8, 2026)
8. Sentry stores data in the US (Iowa) or the EU (Frankfurt), chosen when you create an organization (accessed Nov 8, 2026)
9. Error Tracking, APM, Infrastructure Pro, RUM, Session Replay, log ingestion and indexing, and AI Credit list prices (accessed Nov 8, 2026)
10. Error Tracking groups similar errors into issues and ingests errors from browser, mobile, logs, traces and RUM sources (accessed Nov 8, 2026)
11. Backend Error Tracking can run standalone, with APM, or with logs, and can capture local variable values (accessed Nov 8, 2026)
12. Issue states, and that EXCLUDED issues stop collecting errors and no longer count toward usage or billing (accessed Nov 8, 2026)
13. Datadog APM overview: distributed tracing and Single Step Instrumentation (accessed Nov 8, 2026)
14. Bits Investigation is described as an autonomous AI agent that investigates production issues (accessed Nov 8, 2026)
15. Point a Sentry SDK at a Sazabi DSN, or send to both Sazabi and Sentry with a multiplexed transport (accessed Nov 8, 2026)