LaunchDarkly and Snowflake help you build, test, and learn—right where your data lives
Blog post from LaunchDarkly
LaunchDarkly is showcasing its integration with Snowflake Summit 2025, allowing teams to build, test, and ship features in one unified workflow. The platform provides experimentation, product analytics, and feature management capabilities that empower engineering, product, and data teams to unlock real-time insights, reduce risk, and make smarter product decisions. LaunchDarkly's Experimentation enables engineers to ship experiments as part of the development process, while providing product teams with immediate, trustworthy insights. With native integration into Snowflake, users can run warehouse-native experiments and analyze results directly alongside their core business data, export raw experiment data for deeper analysis, and ship full-stack experiments across web, mobile, backend, and AI models. LaunchDarkly's Product Analytics brings clarity and speed to how product teams measure impact by providing real-time visibility into feature adoption, usage patterns, and business outcomes. The platform also enables teams to manage and test AI features efficiently with AI Configs, which treats AI configurations like code by applying versions, running tests, and updating model details at runtime. LaunchDarkly is helping teams build better software with every release, with its integration with Snowflake Summit 2025 providing a shared workflow for continuous improvement of AI-driven features.
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