LaunchDarkly Enhances Snowflake Data Export – Unlocking Custom Warehouse Analysis featured image

At LaunchDarkly, our most data-savvy customers are looking to perform advanced, customized experiment analysis within their existing data tools and reporting workflows. These teams require the ability to leverage all available data, not just a subset, to gain deeper insights and drive more informed product decisions. That's why LaunchDarkly is excited to roll out enhancements to our Snowflake data export – unlocking custom warehouse analysis. These enhancements will allow engineering, product, and data teams to create experiments within LaunchDarkly and export the audience data to conduct further advanced analysis right within their Snowflake workflows.

More data means more insights

Data-centric teams often find traditional experimentation tools limiting because they don't integrate smoothly with their existing warehouse and analytics systems. This disconnect forces teams to rely on partial datasets or manual workarounds, leading to incomplete insights and slowing down decision-making. The need for a seamless connection between experimentation platforms and data warehouses has never been more critical to ensure accurate, comprehensive analysis and faster iteration of results.

Introducing Snowflake data export enhancements

LaunchDarkly has revamped its Snowflake data export schema to make querying more efficient and streamlined. Now, teams can use LaunchDarkly to create experiments, manage audience assignments, and start or stop experiment iterations— and then export the data to perform in-depth custom analysis within their Snowflake data warehouse. 

Now, with the LaunchDarkly experiment export, teams gain: 

  • Enhanced flexibility and control: Leverage LaunchDarkly for precise audience assignment and control while leveraging your data teams’ preferred analysis tools​.

Build your precise audience in LaunchDarkly

Visualize the experiment traffic split in LaunchDarkly 

  • Custom warehouse analysis: Empower data teams to perform advanced, custom experimentation analysis within their existing warehouse workflows that connect several data sources.
  • More informed product decisions: Gain a more comprehensive view of experiment performance, empowering more data-informed product decisions that ultimately drive greater business impact.

Custom warehouse analysis architecture

Get started today

Our enhanced Snowflake data export for custom warehouse analysis is currently available through our Early Access Program (EAP). To inquire about getting set up, simply complete this form. Additionally, you can check out our product documentation for more details on these latest enhancements! 

Not yet taking advantage of LaunchDarkly Experimentation or data export? Take control of your data and transform your experimentation process. Sign up for a product demo today.  

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