I have Snowflake, why do I need Dataiku?

Scale who can build AI

Snowflake provides a powerful AI data foundation, but enterprise AI success requires more than centralized data and compute — it requires broader participation across the business.

Dataiku enables everyone from business analysts to data scientists and ML engineers to build AI-powered solutions directly on Snowflake data through no-code, AI-assisted, and full-code experiences in one platform. With Dataiku Cobuild on Snowflake, teams can describe workflows, models, and AI applications in plain language while working within visual, inspectable, and governed environments.

Using Snowflake compute underneath, teams can prepare data, build ML models, automate GenAI workflows, and operationalize AI agents without unnecessary data movement or fragmented tooling.

Michelin uses Dataiku to scale AI across R&D, manufacturing, and mobility services, enabling more than 1,500 users across 50+ factories to work with data and AI directly. By combining Dataiku with Snowflake and other enterprise systems, Michelin reduced analysis times from months to hours while expanding AI access beyond technical teams.

Build on Dataiku, run on Snowflake

Dataiku offers one of the broadest sets of Snowflake integrations among enterprise AI platforms, including Snowpark, Snowpark Container Services, Cortex LLMs, Cortex Search, Cortex Analyst, Cortex Agents, AISQL, ML Jobs, and Model Registry integrations.

As Snowflake expands into ML and generative AI services, Dataiku enables organizations to build on top of those capabilities with a unified platform for analytics, ML, GenAI, and AI agents — from workflow orchestration and agent development to evaluation, governance, and lifecycle management.

A recognized leader in AI and machine learning, Dataiku’s Platform for AI Success helps organizations accelerate enterprise AI adoption across both technical and business teams.

Dataiku and Snowflake’s partnership is proven at enterprise scale. Dataiku has been named Snowflake AI Partner of the Year five times and has been recognized as a Leader in the Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms for the past four years.

Together, Snowflake and Dataiku help organizations operationalize AI faster, expand who can build AI, and maximize the value of their Snowflake investments.

Turn AI projects into production workflows

As organizations scale AI, the challenge is no longer building isolated models — it’s turning analytics, ML, GenAI applications, and agents into production systems.

Dataiku connects Snowflake data, AI services, ML workflows, and business processes into repeatable, governed workflows. Teams can work visually or in code while managing the full AI lifecycle from experimentation to deployment.

For engineers and data scientists, Dataiku provides the flexibility to work with Python, SQL, R, Snowpark, notebooks, APIs, and IDEs like Jupyter and VSCode — alongside visual workflows and AI-assisted development experiences. Teams can manage custom code environments while standardizing collaboration, deployment, and governance across projects.

Eliminate the last mile AI challenge

Dataiku helps eliminate the “last mile” production challenge by providing standardized automation environments, deployment workflows, model packaging, API services, monitoring, and governance capabilities out of the box. Instead of spending time building custom REST APIs and deployment infrastructure, teams can focus on improving models and delivering business value.

Unlike isolated AI coding tools that generate opaque code artifacts, Dataiku enables teams to build AI systems with transparent, reusable workflows that technical and business stakeholders can review, govern, and operationalize together.

Prologis used Dataiku to standardize and scale analytics workflows across the organization, helping technical and business teams collaborate more effectively on AI and data initiatives. By centralizing development and workflows, Prologis accelerated time-to-value while reducing the complexity of managing analytics and AI projects at scale.

Govern AI without slowing innovation

For organizations prioritizing secure, governed AI, Dataiku enables teams to keep data and compute on Snowflake through native integrations and in-database execution while orchestrating AI workflows across the broader enterprise ecosystem.

Dataiku embeds governance throughout the AI lifecycle with lineage, monitoring, approvals, observability, and controls across analytics, ML, GenAI, and agents. Organizations gain visibility into AI system performance, business impact, risk, compliance, and governance — helping teams scale AI responsibly and confidently.

Snowflake + Dataiku: better together

Snowflake provides the scalable AI data foundation. Dataiku provides the orchestration layer that turns that foundation into enterprise AI outcomes.

Together, Snowflake and Dataiku help hundreds of organizations:

• Expand who can build AI.
• Accelerate production AI systems.
• Govern AI responsibly.
• Maximize the value of their Snowflake investments.