Dataiku, the Universal AI Platform, has introduced the Dataiku Optimizer for Snowflake, a Snowflake Native App designed to help joint customers monitor and enhance their Snowflake service usage while working seamlessly within Dataiku projects. Built using the Snowflake Native App Framework and Streamlit in Snowflake, this solution is now available on Snowflake Marketplace. Eligible Snowflake customers can also apply their Snowflake Capacity commitment toward Dataiku subscriptions in select regions, thanks to the Marketplace Capacity Drawdown Program.
- About Dataiku Optimizer for Snowflake
- The app provides IT administrators with tools to monitor and manage Snowflake warehouse consumption and Cortex LLM queries initiated by Dataiku users.
- It scans Dataiku recipe metadata to suggest runtime engine optimizations, improving project efficiency.
- By offering robust monitoring and optimization tools, IT teams can confidently support business teams in deploying GenAI solutions for diverse use cases and industries.
- The Dataiku and Snowflake Partnership
- Dataiku’s Universal AI Platform enables both technical and business teams to build data products, models, and applications like:
- Data cleaning pipelines
- KPI reports
- Multi-modal LLM-powered workflows
- These applications leverage Snowflake’s data, compute, and AI capabilities, offering a scalable and seamless integration between the two platforms.
- The collaboration emphasizes performance, transparency, and cost control for enterprise AI projects.
- Dataiku’s Universal AI Platform enables both technical and business teams to build data products, models, and applications like:
- Customer Benefits
- Optimized Performance: Organizations can maximize AI and analytics project efficiency within their existing Snowflake environment.
- Cost Control: Monitoring Snowflake warehouse consumption ensures better management of resources, preventing unnecessary costs.
- Transparency & Scalability: Enhanced visibility over data access and project runtimes empowers IT teams to scale AI projects confidently.
Customer and Leadership Insights:
- Jed Dougherty, Head of Platform Strategy at Dataiku:
“Organizations are always looking for ways to improve performance and control costs. With the Dataiku Optimizer for Snowflake, we are giving our customers the tools they need to maximize the efficiency of their AI and analytics projects all within their existing native Snowflake environment.” - Kieran Kennedy, Global Head, Data Cloud Products at Snowflake:
“Transparency is key. With Dataiku’s new Snowflake Native App, our joint customers can both find new joint integrations to increase their capabilities, as well as optimize their ongoing use of Snowflake data and AI. We’re confident this app will help ensure enterprise AI remains fast, secure, and more accessible across all levels of the organization.”
The launch of the Dataiku Optimizer for Snowflake represents a significant step forward in empowering organizations to manage and optimize their AI and analytics projects efficiently. By combining Snowflake’s robust data and compute capabilities with Dataiku’s advanced monitoring and optimization tools, enterprises can achieve greater transparency, enhanced performance, and cost savings while scaling AI innovations across industries.