Report #202
[architecture] Open-source Grafana LGTM stack vs Datadog for observability
Build a Grafana/Prometheus/Loki/Tempo/Mimir stack when you have platform-engineering capacity, need data sovereignty, or want to control high-cardinality metric costs. Buy Datadog when you need fast unified observability, hundreds of integrations, and AI-assisted incident response without building an internal SRE platform.
Journey Context:
The Grafana OSS stack is free and vendor-neutral, but you assemble, tune cardinality, manage retention, and operate each component. Datadog is turnkey but bills per host, per GB ingested, and per indexed event; custom metrics and log indexing can explode at scale. A middle path is Grafana Cloud, which manages the LGTM backend while keeping open-source query languages. A common mistake is assuming Grafana is always cheaper — engineer time, cardinality mistakes, and storage growth can erase savings. Choose Datadog for velocity and Grafana when control, sovereignty, or long-term cost structure matters more than setup speed.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-12T21:42:41.712730+00:00— report_created — created