Snowflake
Summit
Summit
Read
Daily recaps from
the Summit
the Summit
.svg)
Watch
The sessions,
on demand
on demand
.svg)
Get hands on
Join a dedicated
Maia workshop
Maia workshop
“Maia offers a glimpse into the future of data engineering.”
“It’s intuitive, powerful, and feels like a real accelerant for how teams build with data. I’m excited about what this will unlock.”
Sridhar Ramaswamy
CEO at Snowflake
Read the recap
Four days, one storyline - agentic data engineering moved from demo to production. Here's what happened on stage and on the floor, day by day.
The Agentic Enterprise Still Runs on Human Supply
A POV on Kleinermann & Dageville's Summit 2026 keynote
Snowflake Summit 2026 Was About Context
The Conversation Has a Blind Spot
Watch the conversation
The big questions about agentic AI, zoomed out. We've pulled the conversations everyone's having - about agentic data engineering, what it changes, and what teams should actually expect - into one session. Less product, more perspective.
From AI Hype to
Accountable Outcomes
Accountable Outcomes
On demand
"What actually works when scaling AI responsibly - including how agents are taking on 90% of repetitive data engineering work."
Get hands-on with Maia
Half a day with Maia, a working pipeline by the end. Hands-on sessions for data teams and their leaders - task Maia with a real workload and watch it build a fully tested, documented pipeline live, reviewing every plan before it runs. You walk away with a production-ready pipeline, an architectural blueprint, and a real evaluation of agentic engineering for your stack.
Your Snowflake investment is only as good as the pipelines feeding it
Most data teams are stuck in a cycle: requests pile up, engineers burn down the backlog manually, deployments slip. Every new AI initiative joins the queue. And the queue never gets shorter.
The setup tax
Pipeline configuration still takes days, not hours
Downstream damage
Bottlenecks slow down every analytics and AI project that depends on clean data
Always behind
Deployment cycles lag behind business demand
No time left
Governance and documentation fall behind because there's simply no time
Your agentic AI data team — native to Snowflake
Where copilots suggest, Maia acts. It reasons, plans, and executes complex data engineering tasks end-to-end — designing, building, testing, documenting, and operating production-grade pipelines at machine speed, with governance built in.
Built into the Data Productivity Cloud, Maia works natively with Snowflake — adapting dynamically to schema or source changes, applying enterprise controls automatically, and integrating seamlessly with Snowflake features including Snowpark, Cortex, and AI Data Services.
Built into the Data Productivity Cloud, Maia works natively with Snowflake — adapting dynamically to schema or source changes, applying enterprise controls automatically, and integrating seamlessly with Snowflake features including Snowpark, Cortex, and AI Data Services.
From Request to Live in Four Steps
Request
One prompt, capture your business requirements.
Maia plans
Reviews your data. Proposes the plan.
Maia builds & test
Pipeline built and validated. PR ready.
Live in Snowflake
Production-grade, AI-ready data.
Autonomous execution
Plans, builds, and runs pipelines end-to-end
Enterprise governance
Security, lineage, and compliance applied automatically
Snowflake-native speed
Processes, deploys, and scales inside your Snowflake account
Built for what data teams actually need
Most platforms solve part of the problem. Maia covers all of it — from first request to production-grade pipeline, without the bottlenecks.
Scale without headcount
Maia augments human expertise with autonomous execution — designing, building, testing, and operating production-grade pipelines at machine speed, helping organizations increase delivery capacity without increasing headcount.
One platform, not a patchwork
The Data Productivity Cloud unifies data integration, transformation, orchestration, and monitoring in a single platform. Combined with Snowflake's native scalability, customers replace fragmented tooling with a governed, seamless experience.
From backlog to production — in days
With Snowflake as the foundation and Maia embedded within Matillion, customers move from proof-of-concept to production in days, not months. Engineering teams accelerate pipeline delivery by up to 10×, enabling AI and analytics initiatives to launch on schedule.
Data professionals love Maia
Maia automates manual data work for teams at global enterprises and fast-growing startups alike.
“Maia is helping us become an AI-ready organization by transforming how we build pipelines. In some cases we’ve seen pipeline build time go from 2 days to 10 minutes.”
John Tentomas
CEO Nature’s Touch
“Maia replaced thousands of hours of manual work, helped us de-risk audits, and let business teams generate insights in days instead of months. It’s the first AI investment that delivered value fast.”
Group CFO
Global Financial Services Firm
"Maia feels like having a team of junior data engineers who never sleep. We’re a small team, but with Maia we’re punching well above our weight."
Dan Adams
Global Analytics Manager @ Edmund Optics
Built for Snowflake, Backed by Snowflake
Snowflake Marketplace
Deploy in minutes, funded through your existing Snowflake commitment
Snowflake Ventures
Strategic investment, not just partnership
Native integrations
Snowpark, Cortex, AI Data Services, OpenFlow extension