Moving off Datadog is usually about cost and lock-in, and the safe way to do it is incrementally, with OpenTelemetry as the bridge.
Migrating from Datadog to OpenTelemetry-native observability means re-instrumenting your services with OpenTelemetry instead of the proprietary Datadog agent, so your telemetry becomes portable and can be sent to any backend, a move usually driven by cost and by escaping vendor lock-in.
Datadog is genuinely excellent and easy to adopt, which is exactly why the bill grows: pricing scales with hosts, ingested and indexed data, custom metrics and retained spans, and at scale it becomes one of the largest lines in the budget. The proprietary agent also locks your instrumentation to Datadog, so leaving means re-instrumenting. Teams migrate to regain control of cost and to own portable telemetry, and OpenTelemetry is what makes that portability real: instrument once with an open standard and choose where the data goes.
The safe path is not a big-bang cutover but a parallel run. Deploy the OpenTelemetry Collector and, using its Datadog-compatible receivers and exporters, dual-ship, keep sending to Datadog while you also route telemetry to the new OpenTelemetry-native backend. Migrate service by service, replacing the Datadog agent and libraries with OpenTelemetry instrumentation, and validate parity against Datadog as you go. Recreate the dashboards and monitors that teams depend on in the new platform, confirm they match, and only then decommission Datadog for that service. Running both in parallel is what removes the risk.
A few things need care. Map Datadog concepts to their OpenTelemetry equivalents so nothing is lost, and check parity of metrics, traces and logs before cutting over. Tags become attributes, and their naming must line up so dashboards and queries still work. Alerts and monitors have to be recreated in the new backend. And remember that OpenTelemetry is instrumentation and collection, not a storage backend, so you still choose where telemetry lands; the cost model shifts from per-host SaaS pricing to storage you control.
| Datadog | OpenTelemetry-native equivalent |
|---|---|
| Datadog Agent | OpenTelemetry Collector (agent + gateway) |
| DogStatsD / custom metrics | OTLP metrics |
| APM traces | OpenTelemetry traces over OTLP |
| Tags | Span and resource attributes |
| Dashboards and monitors | Rebuilt in your chosen backend |
Ops Singularity is OpenTelemetry-native, so it is a natural destination for a Datadog migration: point your new OpenTelemetry pipeline at it, keep your data on open storage, and gain autonomous, governed resolution on top of the telemetry, so leaving Datadog buys you more than a lower bill.
Usually to control cost and escape lock-in. Datadog pricing scales steeply, and its proprietary agent ties instrumentation to it; OpenTelemetry makes your telemetry portable so you can choose the backend and own your data.
Run in parallel: use the OpenTelemetry Collector to dual-ship to both Datadog and the new backend, migrate service by service, validate parity, and only then decommission Datadog per service.
OpenTelemetry replaces the instrumentation and collection layer, not the backend. You still choose a store and analysis platform to send the telemetry to.
Ops Singularity turns open telemetry into autonomous, governed resolution. See it on your own stack.