At Snowflake Summit 2025, we’re showcasing what happens when you bring experimentation, product analytics, and feature management together.
With LaunchDarkly warehouse-native integrations, teams can build, test, and ship features in one unified workflow. Our partnership with Snowflake empowers engineering, product, and data teams to unlock real-time insights, help reduce risk, and make smarter product decisions.
Build smarter decisions into every release with experimentation
LaunchDarkly Experimentation is designed to close the gap between feature delivery and decision-making. It enables engineers to ship experiments as part of the development process, while providing product teams with immediate, trustworthy insights to guide their next steps.
With native integration into Snowflake, you can:
- Run warehouse-native experiments and analyze results directly alongside your core business data.
- Export raw experiment data into your Snowflake AI Data Cloud for deeper analysis, custom modeling, or advanced visualization.
- Ship full-stack experiments across web, mobile, backend, and AI models, all within your existing release workflow.
- Measure what matters with customizable metrics, advanced targeting, and built-in statistical rigor, so every experiment leads to action.
Enhance your insights in real time with Product Analytics
LaunchDarkly Product Analytics brings clarity and speed to how product teams measure impact. It gives product managers real-time visibility into feature adoption, usage patterns, and business outcomes, without waiting on data teams or stitching together reports from other tools.
With warehouse-native product analytics, teams can:
- Access real-time usage data directly from your warehouse, without having to manage custom pipelines.
- Build funnels, cohorts, and retention charts without writing SQL or relying on data science teams.
- Connect product behavior to business outcomes like conversion, retention, and revenue.
- Stay in control of data and privacy with data that is stored in your warehouse.
Manage and test AI features efficiently with AI Configs
Shipping AI-powered experiences—like new models, prompt variations, or dynamic responses—requires even more caution and control than shipping traditional features. Because LLMs and other AI systems can produce unpredictable outputs, it's critical to have safeguards in place from the start.
With LaunchDarkly, teams can treat AI configurations like code by applying versions, running tests, and updating model details at runtime. Whether you're experimenting with LLM prompts or managing fallback logic, LaunchDarkly helps you move fast while staying in control.
LaunchDarkly AI Configs enables teams to:
- Attach feature flags to AI models, prompts, or outputs, just like any other feature.
- Run experiments to test different prompts, temperature settings, or output formats in production.
- Control exposure with advanced targeting using geography, user behavior, or custom attributes.
- Implement kill switches and fallbacks to quickly shut off underperforming or risky experiences.
- Track and measure impact in Snowflake using warehouse-native experimentation and analytics.
LaunchDarkly gives engineering and product teams a shared workflow to continuously improve AI-driven features, with the same confidence they have in every other release.
What’s next: Join us at Snowflake Summit
Whether you’re in San Francisco or following along remotely, there are plenty of ways to connect with LaunchDarkly this week:
- Attend our talk, “Feature Flags to Insight: How LaunchDarkly Uses Snowflake to Experiment and Grow.” We’ll take a deep dive into our warehouse-native experimentation architecture, co-presented by the Snowflake Innovation Team. Register here.
- Explore the Snowflake Native app. Now available in the Snowflake Marketplace, the app lets you run experiments and analyze feature impact directly in your Snowflake environment.
LaunchDarkly and Snowflake are helping teams—like the Product and Central Analytics team at Savage x Fenty—build better software with every release. Sign up for a product demo today.
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