LaunchDarkly, a leader in feature management platforms, has just revealed the private preview of its Snowflake Native App for Warehouse Native Experimentation. This new app is designed to bring advanced experimentation capabilities directly into Snowflake, the popular data cloud platform, allowing teams to run product experiments and analyze results within their existing data warehouse environment. Additionally, LaunchDarkly announced the acquisition of Houseware, a company known for its expertise in warehouse-native product analytics, and winner of the 2022 Snowflake Startup Challenge. This acquisition strengthens LaunchDarkly’s ability to provide AI-powered analytics, offering deeper insights into customer engagement with products.
Why Centralized Data is Key for Modern Teams
Today’s engineering, product, and data teams are looking to consolidate their performance metrics into a single data warehouse. Having a centralized data source is essential for data-driven decision-making, but teams also need the ability to experiment and analyze in real-time. LaunchDarkly’s new Snowflake Native App, now in private preview, integrates its advanced experimentation tools directly into the Snowflake platform. This integration enhances data governance, scalability, and flexibility, empowering teams to generate more actionable insights that drive smarter and faster product development.
Key Benefits of the Snowflake Native App
- Seamless Data Integration
Traditionally, data engineers, scientists, and analysts face the challenge of siloed data spread across multiple tools, making it hard to perform sophisticated analyses. LaunchDarkly’s Snowflake Native App addresses this by allowing users to conduct advanced analyses directly within Snowflake. With features like custom warehouse analysis, teams can export results back into their Snowflake tables for downstream analytics, using their preferred data tools to drive better decisions. - Warehouse Native Experimentation
Many teams struggle to find a unified platform that allows them to design, run, and analyze experiments using their warehouse data. The Warehouse Native Experimentation feature of LaunchDarkly’s Snowflake Native App changes that. It centralizes experimentation data within customers’ Snowflake accounts, streamlining the process of creating metrics and visualizing results. By bringing experimentation and data analysis into one place, teams can make quicker, smarter business decisions, all while staying in their existing Snowflake environment.
Empowering Smarter Business Decisions
Dan Rogers, CEO of LaunchDarkly, emphasized the importance of experimenting with new features to measure their ROI and maximize their business impact. “With organizations striving to innovate faster, it’s crucial not just to control feature releases but to experiment with them to determine the best return on investment,” he said. “Our Snowflake integration, combined with the expertise from our Houseware acquisition, enables us to deliver deeper, actionable insights that transform how engineering, product, and data teams work together.”
Kieran Kennedy, Global Head of AI Data Cloud Products at Snowflake, also highlighted the significance of the partnership. “By developing a Snowflake Native App, LaunchDarkly is helping make advanced experimentation and analysis more accessible, enabling businesses to make smarter, faster decisions and drive innovation.”
Conclusion
LaunchDarkly’s Snowflake Native App brings advanced experimentation and product analytics directly into the heart of Snowflake’s data environment, solving common challenges faced by modern data-driven teams. With this integration, businesses can streamline data workflows, enhance collaboration, and accelerate product development, all while gaining actionable insights that lead to smarter decisions.
