Sentry vs Datadog vs Moneat: features, pricing, and migration trade-offs

Adrian Elder6 min readcomparison, sentry, datadog, pricing

This comparison is written by Moneat’s founder. It focuses on the questions that matter when evaluating a switch: what you can keep, what needs reconfiguration, which features require closer testing, and how to compare the cost of the same workload.

Features and prices should be read alongside the stated plan, billing term, and review date. The competitor details and linked prices below were reviewed on September 13, 2026.

The short version

SentryDatadogMoneat
Best fitDeveloper-focused error and application debuggingBroad, mature enterprise monitoring and securityTeams connecting application telemetry and incident response in one workflow
Existing instrumentationNative Sentry SDKsNative Datadog Agent and libraries; OpenTelemetry supportSupported Sentry SDK signals, Datadog Agent ingestion, and OTLP
Migration workNew SDK setup when coming from another modelEndpoint, agent, library, dashboard, and workflow changes depend on the sourceKeep supported instrumentation, then verify destinations, feature differences, and alerts
Pricing shapePlan plus product quotas and pay-as-you-go usageProduct-specific host, volume, event, session, and test unitsPlan plus usage allowances and overages shown by the live pricing service
Strongest reason to staySDK ecosystem and focused error-debugging workflowProduct breadth, integrations, and enterprise operating maturityNot applicable—evaluate the limitations below before moving

Sentry

Sentry remains a strong choice when error triage, releases, source maps, profiling, and its SDK ecosystem are the center of the workflow. It has also expanded beyond errors: Sentry documents logs, traces, replays, uptime, and application metrics as connected application signals.

Its pricing cannot be represented honestly by one error-event number. Plans include product-specific quotas, while additional usage can vary across errors, spans, replays, logs, metrics, attachments, and other products. For example, Sentry’s current logs announcement states that plans include 5 GB of logs and charge $0.50 per GB after that. Check the current Sentry pricing page and the account’s subscription view for the rest of the workload.

Choose Sentry when its native SDK features and developer workflow matter more than consolidating infrastructure monitoring and incident response into the same product.

Datadog

Datadog is the broadest and most operationally mature product in this comparison. Its strength is not just feature count: it has a large integration catalog, established workflows, and deep coverage across infrastructure, APM, logs, digital experience, security, and software delivery.

That breadth also produces a bill with many dimensions. Datadog’s published price list separates infrastructure hosts, APM hosts, ingested and indexed logs, ingested and indexed spans, custom metrics, RUM, replays, synthetics, profiling, database monitoring, and other products.

Choose Datadog when those mature integrations and operating workflows justify the procurement and cost-management work, especially if the organization already has negotiated terms and expertise built around it.

Moneat

Moneat accepts several existing ingestion paths so a migration can start without replacing all instrumentation at once:

  • Sentry-compatible envelopes for supported errors, context, traces, and replays;
  • Datadog Agent payloads when each enabled telemetry destination is redirected; and
  • OpenTelemetry/OTLP for vendor-neutral logs, traces, and metrics.

Those are compatibility layers, not separate product silos. Inside Moneat, the operating model is services, errors, logs, traces, metrics, monitors, alerts, and incidents.

Compatibility is not identity. Sentry SDK profiles are supported through the envelope path when profileSessionSampleRate and profileLifecycle are enabled, but they should still be validated in the Profiles → Sentry SDK view. Historical Sentry events are not imported. Advanced Datadog Agent tracks require the generated configuration, and every alert and notification path still needs to be tested.

Choose Moneat when staged adoption and cross-telemetry incident workflow matter, and when the team is willing to verify the specific features it depends on rather than assume blanket parity.

A pricing scenario without hidden inputs

Suppose a service estate has 20 infrastructure hosts, APM on 15 hosts, 150 GB of logs, 150 million indexed log events with 30-day retention, and 20 single-step API tests running once per minute from one synthetic-test location during a 30-day month.

At Datadog’s published annual-billing list rates reviewed on September 13, 2026, those specified items total $1,587 per month:

  • $300 for Infrastructure Pro;
  • $465 for APM hosts;
  • $15 for log ingestion;
  • $375 for indexed logs; and
  • $432 for synthetic API test runs.

That is not a complete Datadog quote; it omits several possible products and account-specific allotments or discounts. The full arithmetic is in the Datadog pricing worked example.

The same description is not yet enough to price Sentry or Moneat fairly. You still need error, span, replay, metric, series-hour, and analytics usage, plus sampling and retention choices. For Moneat, enter those values in the live pricing calculator. For Sentry, use the current plan and pay-as-you-go rates shown for the account.

This is the rule for every comparison: price the same retained signals and workflows. Do not fill a shared allowance with logs and then treat errors and replays as free, or omit a separate span or metric allowance because another signal is measured in gigabytes.

Where each competitor is stronger

Sentry is stronger when a team wants its native error-debugging experience, SDK-specific features, profiling, and release workflow. Datadog is stronger when an organization needs its integration catalog, enterprise security and governance products, or a deeply established infrastructure and APM practice.

Moneat’s advantage is the ability to bring supported SDK, Agent, and OTLP telemetry into one source-neutral investigation and response workflow. Its trade-off is that compatibility must be tested signal by signal; it should not be purchased on the assumption that every competitor feature or call behaves identically.

Which should you choose?

Choose Sentry if application errors and developer debugging are the priority, and its native SDK and profiling capabilities fit the team.

Choose Datadog if broad enterprise monitoring, integrations, security, and operational maturity outweigh the complexity of a multi-product bill.

Evaluate Moneat if you want errors, logs, traces, metrics, monitors, alerts, and incident response connected, while keeping supported existing instrumentation during a staged migration.

A safer migration path

Pick one service and one workflow. Keep the existing SDK or Agent, configure the generated Moneat destination, and send controlled test telemetry. Compare context, grouping, source maps, traces, replays, retention, queries, dashboards, and alert delivery.

Move the next service only after the first has met an explicit acceptance checklist. Keep the old destination and alert configuration available until rollback has been tested.

Compare your workload | Migrate from Sentry | Configure the Datadog Agent

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