Head-to-head
Datadog LLM Observability vs Sentry: which one in 2026?
Datadog is a monitoring platform from Datadog, Inc. that covers infrastructure, tracing, logs and security under per-product meters, while Sentry is an application monitoring service for developers that centers on errors, spans and session replays. Datadog watches the whole estate. Sentry watches what the code does.
Verdict
Datadog is placed first because observability is a broader job than error tracking: it reaches infrastructure, logs and tracing, while Sentry stays inside the application. For a product team, Sentry is the cheaper and simpler way in, and its free tier is genuinely usable. Plenty of companies run both. Plan a separate budget for the AI layers, as Seer at Sentry and AI Credits at Datadog both come on top of base plans.
Datadog LLM Observability and Sentry side by side
| Datadog LLM Observability | Sentry | |
|---|---|---|
| Price entry | Quoted | $29 per month (Team, billed monthly) |
| Main job | Watches hosts, containers, services and logs across a whole estate; APM, security and feature flags are separate products on the same platform. | Monitors application code: error tracking, performance tracing, session replays, logs, cron and uptime monitors, tied back to the code that failed. |
| Cheapest way in | A no-cost tier handles five Basic hosts and keeps metrics one day; the first paid step, Infrastructure Pro, is $15 a host each month on annual terms. | The Developer plan is free forever for one user with 5k errors and 5M spans; Team is $29 monthly or $26 on annual billing. |
| How the bill grows | Every added product brings its own meter: APM starting at $31 a host, log ingest at $0.10 a gigabyte, and indexed spans and log events as further lines. | Plans bundle quotas, so Team and Business include 50k errors and 5M spans, and Business is $89 monthly or $80 annual. |
| Team size pricing | The pages read show no per-seat rate; spend tracks hosts, data volume and chosen products, and Code Coverage is charged per committer at $8. | Developer is limited to one user; Team and above include unlimited users, so adding engineers does not change the listed plan price. |
| AI debugging | The Bits products (Chat, Investigation, Code, Agent Builder) draw from AI Credits, sold at $500 for 500 credits monthly, and leftover credits expire. | Seer, the AI debugging feature, needs a separate subscription on top of Team; the pages read do not give its price. |
| Retention window | Basic infrastructure metrics are kept for 15 months, standard log indexing holds events for 15 days, and indexed span pricing varies with retention. | Developer looks back 30 days; Team and Business reach up to 90 days, with additional sampled retention on Business. |
| Security attestations | No certification is named on its security page, which points to a Trust Center that returned a 404, so nothing could be confirmed. | The security page states SOC 2 Type II compliance, with SOC 2 Type II and ISO 27001 reports available on request, and links a BAA. |
| Hosting and AI training | The privacy policy names no EU hosting region, says data may be kept in the United States, and is silent on training AI with customer data. | Hosted on Google Cloud Platform, with EU or US choice not stated; the AI privacy page returned 404, so training terms were not read. |
Where each one wins
Datadog LLM Observability wins on
- One vendor can stand in for several tools, since hosts, containers, network and security sit beside applications
- Infrastructure Pro lists over 1,000 integrations, OpenTelemetry support and Kubernetes monitoring
- Starting prices are published per product, so APM, logs or profiling can be bought one at a time
Sentry wins on
- Free plan includes error tracking, tracing, logs and replays, enough to monitor a small production app at no cost
- Flat monthly plan prices with unlimited users on Team make the bill easy to forecast
- States SOC 2 Type II and ISO 27001 availability on its security page, where Datadog's pages named none
Which to pick
Pick Datadog LLM Observability if
Your estate spans servers, containers and services, you prefer logs, traces and security from a single supplier, and you can model several usage meters before committing.
Pick Sentry if
Developers own the monitoring, the main pain is bugs and slow requests in application code, and you want a predictable plan price per month.
Each tool in context: Datadog LLM Observability, Sentry, and the full Best AI Observability and APM Software in 2026.
Frequently asked questions
Do I need both Datadog and Sentry?
Often not at the start. Sentry covers errors, traces and replays in application code, while Datadog adds host, container and log monitoring. Teams with a platform group commonly keep Datadog for infrastructure and let developers use Sentry for bugs. If you only ship one web app, Sentry alone may be enough for a while.
Which one is cheaper for a startup?
Usually Sentry. Its free Developer plan has one user, 5k errors and 5M spans, and Team costs $26 monthly on annual billing for unlimited users. Datadog's free tier is limited to five Basic hosts, and paid products are charged per host, per gigabyte or per credit.
Does Sentry's Seer cost extra?
Yes. Sentry's pricing page says Seer, its AI debugging feature, is a separate subscription over Team, and the amount was not read. At Datadog the AI products are paid from AI Credits, $500 buys 500 credits a month on annual billing, and unused ones are lost.
Can I keep my data in the EU with either tool?
Neither set of pages answers this. Sentry states Google Cloud Platform hosting with no region, and Datadog's privacy policy allows storage in the United States without naming an EU region. Get a written answer from each vendor before sending production data.