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Datadog LLM Observability vs Laminar

Both stand on llm monitoring. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Datadog LLM Observability

Free plan Web
Visit Datadog LLM Observability

Laminar

Free plan APISelf-hostedWeb

Choose Laminar if you need OpenTelemetry-native tracing and debugging for AI agents, with evaluations and cloud or self-hosted deployment options. The Free plan has one project, one seat, 1 GB of data, and 7-day retention; teams needing more data or longer retention can consider the paid plans, starting at $30/mo.

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The facts

Datadog LLM ObservabilityLaminar
Free planYesYes
Open sourceNot publishedNot published
Runs onWebAPI, Self-hosted, Web
Lowest paid planNot publishedStarter: $30 a month
Plans publishedNone4
MakerNot publishedNot published
Websitedatadoghq.comlaminar.sh
On llm monitoring#22 of 26#18 of 26

Datadog LLM Observability: what it does well

    Laminar: what it does well

    • Traces LLM calls, tools, custom functions, and sub-agents.
    • Readable transcripts help inspect agent runs.
    • Cached replay supports debugging up to a point under investigation.
    • Evaluations can run locally or in CI.
    • Offers managed cloud and self-hosting.

    What to know first

    • Free includes 1 GB of data and 7-day retention.
    • Free is limited to 1 project and 1 seat.
    • Free and Starter default Privacy Mode to off.
    • PII redaction is best-effort and applies to model input and output.

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