We’re excited to announce a new chapter in our collaboration with Snowflake: the introduction of Warehouse Native Experimentation. Now teams can not only unify feature management and experimentation with LaunchDarkly; they can also leverage data within their Snowflake AI Data Cloud to measure the impact of their experiments using trusted datasets. By designing, running, and analyzing experiments using warehouse data, teams can unlock deeper insights and make critical decisions more quickly.
LaunchDarkly and Snowflake are collaborating to remove barriers to experimentation
We recently enhanced our Snowflake Data Export, making it easier for teams to export and analyze experiment data directly within Snowflake. Now, we’re further expanding our collaboration with Snowflake, unlocking warehouse native experimentation to help teams get more value from their data.
One of the most significant challenges engineering, product, and data teams face with experimentation is the disconnect between their trusted business data—the data their organization relies on to make decisions—and the tools they use to run experiments. This disparity makes it difficult to extract meaningful insights, accurately measure experiment impact, and confidently iterate on product features.
Now, with Snowflake Warehouse Native Experimentation, you can run experiments in LaunchDarkly and make decisions based on enhanced results powered by Snowflake’s AI Data Cloud. Using trusted, organization-wide metric data from Snowflake, you can gain a more holistic view of experiment results, ensuring they align with core business data.
Simply run experiments in LaunchDarkly. The LaunchDarkly platform will then analyze the experiment results on top of your Snowflake data. Your Snowflake data never leaves your warehouse—operations run on your data directly, ensuring privacy and security are built in. This minimizes data movement, enables teams to experiment confidently, and empowers faster, more informed decisions.
Setting up Warehouse Native Experimentation with LaunchDarkly and Snowflake
Getting started with Warehouse Native Experimentation is easy; it takes just a few steps to integrate LaunchDarkly and Snowflake.
- Set up Snowflake Data Export. Send LaunchDarkly experiment data to Snowflake, where it’s combined with your metric data to compute experiment results. Follow the instructions in the LaunchDarkly documentation to complete the setup.
- Install the LaunchDarkly Warehouse Native Experimentation App. Available in the Snowflake Marketplace, this app securely connects Snowflake’s AI Data Cloud with the LaunchDarkly experimentation platform, ensuring experiments can be analyzed in the same environment as your business metrics.
After completing your setup, you can define metrics using Snowflake data and add them to experiments in LaunchDarkly. This makes it easy to measure experiment results against important KPIs and unlock deeper insights for decision-making.
Get started today
Ready to take your experimentation to the next level? Warehouse Native Experimentation is now available, making it easier than ever to analyze experiments using trusted data within Snowflake.
Start making data-driven experimentation decisions with LaunchDarkly. Sign up for a product demo today.
