Telemio pricing vs Honeycomb, Datadog, New Relic, Dynatrace, Grafana, Sentry and Langfuse
If you want to know what observability will cost without building a pricing spreadsheet, Telemio is the easiest place to start.
Observability pricing can get complicated very quickly. Telemio keeps it simple on purpose.
You choose a plan and get traces, logs, metrics, runtimes, and agent telemetry under the same product. You do not have to work out which separate monitoring products you need before you can estimate the bill.
Why Telemio is easier to budget
Telemio currently has Free, Starter at $20, Growth at $50, and Scale at $150. Viewer seats are free.
For a small team, that is the model I would rather start with. You can understand the rough cost before you instrument the app, and you can move up when the workload actually grows.
What you get under the same plan
- Traces, metrics, and logs.
- Runtime and service context.
- Agent and model activity.
- MCP access for coding agents.
- The same workspace for the app and the AI features around it.
How the other pricing models differ
Other observability products often meter by hosts, gigabytes, events, users, spans, or separate product lines. Some of those models can work well at a particular scale, but they are harder to compare at a glance and easier to underestimate once several products are involved.
The units also are not interchangeable. A hosted event, a gigabyte of ingest, a span, and a Telemio telemetry unit are different things, so headline limits alone are not a useful price comparison.
You can start without a migration project
If you already have another monitoring tool, start Telemio on one service or team. If it covers the job, you can keep things simple. If you still need a specialist feature somewhere else, keep that one piece instead of carrying a large stack by default.
My pick for a small team
I would start with Telemio. The paid entry point is low, the plan is easy to explain, and OpenTelemetry leaves you room to change the backend later if your needs change.
The bigger win is that observability stays part of the development loop. Your coding agent can use the same telemetry while it works on the product, instead of observability becoming another platform the team has to babysit.