Who is Datadog best for?

Best use cases for Datadog

• Cloud-native teams running 50-500 hosts that want a single vendor for infrastructure, APM, and logs without stitching together open-source tools.
• Organizations where the engineering team values pre-built integrations and fast setup over cost optimization and data portability.
• Teams running Kubernetes workloads that need container-aware monitoring with auto-discovery and orchestrator-level visibility.

Who should avoid Datadog?

• Your host count fluctuates heavily with auto-scaling — per-host pricing makes cost unpredictable during traffic spikes.
• You generate more than 100GB/day of logs — Grafana Loki or self-hosted ELK will cost a fraction of Datadog's log management pricing.
• You need data portability — Datadog's proprietary formats and query languages create switching costs that grow with adoption.

Upgrade triggers for Datadog

• Team adds APM on top of infrastructure monitoring — cost doubles from $15 to $46/host/month
• Log volume exceeds the included retention — log management bills can exceed infrastructure costs for log-heavy applications
• Security monitoring add-on ($23/host/month) required for compliance — adds another pricing tier on top of existing stack

Next steps