Metric Data Sources are now Generally Available for Warehouse Native Experimentation, making it easier to connect your existing warehouse tables to LaunchDarkly without forcing everything into a single fixed-schema table.

What’s new

With Metric Data Sources, you can:

• Connect one or more warehouse tables as a data source for experimentation
• Map your existing schema to the required experimentation fields (no rigid event table format)
• Use SQL queries to define and select the event data you want to measure—giving you more flexibility as your program scales across teams and products

Why it matters

Previously, Warehouse Native Experimentation required centralizing metric events into one table with a fixed schema, which limited how teams modeled and created metrics. Metric Data Sources remove that constraint, so you can bring your warehouse structure to LaunchDarkly instead of reshaping your data to fit LaunchDarkly. (This also unlocks key workflows for teams with mature, multi-table setups.)

Availability

It’s Generally Available for Warehouse Native Experimentation customers in the US region.

Learn more | Docs