Modernizing Analytics With Dataiku and Snowflake

Today’s enterprises move at a speed legacy systems can’t match. Many still rely on outdated analytics tools built for a slower, simpler era. These systems fragment workflows, duplicate data, and slow the path from insight to action. To stay competitive, organizations need connected, scalable, and governed analytics foundations that bring together people, processes, and data in real time.

Modernizing your analytics is a growth strategy, not just a tech upgrade. The principles of the modern data stack — speed, scalability, and simplicity — are at the heart of this transformation. Dataiku, The Universal AI Platform™, brings these principles to life by connecting people, processes, and data in a single governed environment. Paired with Snowflake’s AI Data Cloud the partnership embodies these principles, creating an elastic, modular foundation for data-driven innovation.

Dataiku and Snowflake provide the essential foundation to accelerate your analytics modernization journey. Snowflake delivers the secure, high-performance infrastructure enterprises need, while Dataiku provides the collaborative workspace where teams can design, deploy, and govern analytics, machine learning, GenAI, and AI agents, all in one shared workspace.

Together, they form a unified ecosystem where data stays securely in Snowflake, intelligence is built in Dataiku, and teams can move from idea to impact faster than ever.

The Strategic Shift to Modern Analytics

The question facing most organizations isn’t if they should modernize, it’s how. As data volumes surge and AI becomes essential to daily operations, traditional architectures introduce friction at every turn: siloed data, manual handoffs, and governance that lags behind innovation.

Snowflake’s AI Data Cloud represents the evolution of the modern data stack, an ecosystem designed for continuous scalability, interoperability, and AI readiness. It replaces fragmented and rigid architectures with a dynamic foundation where analytics, machine learning, GenAI, and AI agents can thrive side by side.

Dataiku extends that capability by orchestrating intelligence on top of this elastic layer, turning Snowflake’s data power into actionable and governed outcomes. Teams can work directly on live Snowflake data through the Dataiku platform, preparing, modeling, and deploying in one seamless flow. All computation runs natively in Snowflake through Warehouses, Snowpark Container Services compute pools, and Cortex AI, ensuring performance, security, and cost-efficiency while keeping data exactly where it belongs.

This approach simplifies modernization: data stays securely in Snowflake, teams build and automate in Dataiku, everything runs natively, and governed results can be published across the business.

Empower Every Skillset

Real modernization happens when everyone who works with data, from analysts to engineers, can contribute to insight and innovation. With Dataiku and Snowflake, analysts, engineers, and scientists share the same workspace, each contributing with the tools and skills they know best.

Analysts can explore and prepare Snowflake data visually; technical teams can extend those workflows with SQL or Python (with libraries like Snowpark). The shared environment removes barriers between roles, enabling faster delivery and better collaboration where insights are shared, not siloed.  As GenAI and AI agents become part of everyday workflows, this unified model ensures that innovation happens responsibly and quickly.

A Unified, Integrated Architecture

A modern analytics stack should be both powerful and invisible. Simple enough to manage, yet strong enough to scale. Dataiku provides the orchestration layer, visual workflows, automation, and built-in governance, all working in concert to maintain transparency and control.

This architecture cuts complexity and cost while supporting future workloads like forecasting, summarization, and conversational analytics. It replaces scattered tools with a cohesive, governed ecosystem that’s designed to evolve with the business.

Enable AI Upskilling and Acceleration

As organizations expand their analytics programs, they must also prepare teams to build and deploy AI responsibly. Dataiku and Snowflake make that transition seamless by combining enterprise-grade AI tools with flexible, accessible interfaces. 

With the Dataiku LLM Mesh, teams can develop and manage GenAI and agent-based applications securely. Snowflake Cortex AI and Snowpark Container Services extend AI and ML capabilities directly to the data, keeping workflows efficient and governed. The result is a culture of continuous learning and innovation, where teams gain fluency in AI, and organizations scale it responsibly.

Trusted Governance and Security

Progress in analytics depends on trust. Dataiku and Snowflake embed governance and security from the start, not as an afterthought.

Data remains in the Snowflake AI Data Cloud, protected by encryption, role-based access, and real-time monitoring. Dataiku adds lineage tracking, audit trails, and structured approvals, ensuring that every dataset, model, and decision path is traceable and accountable.

This transparency gives enterprises the freedom to innovate without sacrificing compliance, scalability, or control.

Proof of Modernization at Scale

Across industries, enterprises are proving the value of modernization with measurable results built on the Dataiku and Snowflake partnership:

• Prologis modernized from on-prem to Snowflake and standardized AI in Dataiku, scaling 12x more production models.
• Air Canada centralized campaign analytics on Snowflake and automated modeling in Dataiku, cutting model build time from weeks to hours and improving post-campaign analysis efficiency by 96%.
• OHRA built an integrated AI ecosystem with Dataiku and Snowflake to deploy models 6x faster and achieve a 100% increase in automation for claims processing, all while maintaining robust governance and fairness.

These outcomes prove that modernization with Dataiku and Snowflake delivers measurable value: faster innovation, trusted governance, and enterprise-grade scalability. It’s why Dataiku has been named Snowflake’s AI Data Cloud Product Partner of the Year four times (2022–2025).

At Prologis, we are selective about the technologies we embed deeply into our operations. Dataiku and Snowflake are two foundational pieces of our AI strategy.

- Jennifer Garcia, Manager AI/ML Engineer at Prologis

Modern Analytics for a Modern Enterprise

Modernization isn’t just about better technology; it’s about creating a culture where data, people, and AI work together seamlessly. The Dataiku-Snowflake partnership provides the flexibility and governance to make that vision a reality.

Enterprises that modernize with this architecture can:

• Empower every skillset to contribute to AI-driven outcomes.
• Simplify operations through a single, integrated environment.
• Build and deploy AI (including GenAI and AI agents) responsibly with full transparency.
• Scale innovation securely and sustainably.

Dataiku helps organizations create, deploy, and govern analytics and AI responsibly. Snowflake, through its AI Data Cloud, delivers the secure, scalable infrastructure to power that intelligence across the enterprise. Together, they define what modern analytics looks like today: a partnership built on scale, trust, and the shared mission to help organizations move from data to decision, faster and with confidence.