LogHouse Editorial · Published 2026-08-22 · Updated 2026-09-06 · 8 min read
Datadog Flex Logs vs Standard Logs vs LogHouse
Compare Datadog standard logs, Flex Logs, and using LogHouse as an economical log backend alongside Datadog.
The short answer
Standard Datadog logs are for high-value, short-window investigations inside Datadog. Flex Logs trade some of that premium experience for lower unit cost on older or lower-priority data. LogHouse is a separate managed log platform: use it when you want fast search and long retention on high-volume telemetry without paying observability-platform prices for every gigabyte.
Standard logs
Standard (indexed) Datadog logs are the right place for events tied to monitors, dashboards, and active incidents. You pay for that integration with the rest of the Datadog workflow.
Flex Logs
Flex Logs are Datadog’s answer to “this data should exist, but not at standard rates.” Query characteristics, retention options, and feature coverage differ from standard logs. Confirm the current product behavior in Datadog documentation before planning around it.
Flex still lives inside Datadog’s commercial model. It can be a good fit if you want one vendor and can accept Datadog’s Flex constraints.
Where LogHouse fits
LogHouse is not a Datadog storage tier. It is a logging product you can use on its own, or as the backend for streams you no longer want to store in Datadog.
Teams that keep Datadog for APM, infrastructure monitors, and a thin log slice often send the bulk of application and Kubernetes logs to LogHouse. Search, patterns, and retention then happen on infrastructure designed for analytical workloads.