Snowflake Summit 2025 Recap: AI-Native, Adaptive, and Ecosystem-Driven

It’s not just a platform update; it’s a signal. Snowflake is shifting gears from data warehousing to full-blown AI-native infrastructure.

At this summer’s wave of announcements, the company didn’t just introduce new features — it delivered a vision. One where compute adapts to your needs, pipelines move like water, AI is accessible to anyone, and app dev becomes collaborative, secure, and monetizable from day one.

From Adaptive Compute to Cortex Agents, Snowflake is defining the next phase of cloud data. It’s doing it with speed, intention, and an army of partners, such as LandingAI, Trust3AI, Qlik, Privacera and more, pushing the boundary right alongside them.

Platform: Smarter Compute, Sharper Controls

Let’s start with the platform — you’re going to love this. Snowflake’s Adaptive Compute (currently available in private preview) is basically doing the heavy lifting on performance tuning for you. No more guessing on cluster sizes or fiddling with settings — Adaptive Compute automatically picks the right cluster size so you get the best bang for your buck.

On the governance side, Snowflake’s AI-powered Horizon Catalog just got smarter, and soon you’ll see Iceberg integration and a handy Copilot to help you navigate your data landscape. They’ve beefed that up too with advanced multi-factor authentication (GA) and immutable Snapshots coming soon — so you can sleep better knowing your data is locked down. NOTE: This can impact data-democratization, so you need a partner tool to ensure you have fine-grained access to data.

Data Engineering: Fluid Pipelines, Open Choices

If you’re in data engineering, then here’s the scoop: Snowflake just made moving and transforming data feel effortless. With Openflow (GA on AWS), you can connect and integrate data from all sorts of sources without breaking a sweat. And if you’re a dbt fan like many of us, native dbt Projects on Snowflake (coming soon) will cut down your deployment friction dramatically.

Snowflake’s lakehouse vision is crystal clear — full support for Apache Iceberg, Catalog Linked Databases, and improvements that slash latency in Dynamic Tables so your pipelines move at lightning speed. And for you Python lovers, Pandas on Snowflake is in preview, so your Python-native workflows can run smoother than ever inside the platform.

Analytics: Fast, Familiar, and AI-Infused

On the analytics front, SnowConvert AI (now GA) is making legacy code migrations feel like a breeze — so you can bring your old SQL queries into the future without the headache. And Cortex AI SQL is a game-changer, letting you analyze all kinds of data with the SQL skills you already have.

When it comes to speed, Snowflake has made advancements here as well. Standard Warehouse Gen2 is delivering a solid 2.1x boost in analytics performance. Iceberg queries are up to 2.4x faster, and with Semantic Views (in preview), you get consistent business logic across your dashboards.

AI & ML: Enterprise AI Without the Overhead

Here’s where it gets exciting for you — whether you’re an AI developer or a business user. Snowflake Intelligence and Cortex Agents (coming soon) let you interact with your data using natural language and build AI apps with little to no code.

For the ML pros, there’s a lot to unpack: Automated pipeline creation with the Data Science Agent, distributed model training (GA), plus a Feature Store (in preview) with online serving.

Apps & Collaboration: AI-Native from the Start

Forget clunky plug-ins — Snowflake Native Apps and Cortex Knowledge Extensions bring AI-powered apps right inside the platform. You get better security, version control, observability, and new monetization models to help you go from MVP to marketplace-ready, fast.

Ecosystem Energy: A Celebration of Integration and Innovation

This wasn’t just about Snowflake’s own updates. The Summit also shined a spotlight on the partners driving the ecosystem forward. Dataiku took home AI Data Cloud Product Partner of the Year, showing how low-code ML development is accelerating adoption. Sigma earned the Business Intelligence crown, proving spreadsheet-native analytics still rules the hearts of teams looking for speed and governance.

There were other rockstars too:

• DataOps.live in Observability,
• LandingAI in Startup Innovation for pushing production-grade computer vision,
• and Observe, Inc. leading Apps & Collaboration with tight Snowflake-native integrations.

Integration Momentum: Trust3AI, Qlik, Privacera & More

You know what else stood out? Snowflake’s open, connected approach. Qlik officially became an integration partner, strengthening the bridge between governed analytics and real-time data workflows. Trust3AI was featured for their work in responsible AI — exactly what enterprises need to build trust and safety into their AI systems.

And Privacera? They’re now part of the Snowflake Startup Accelerator, solidifying their role in making fine-grained access control and unified security a reality across multi-cloud environments.

This is exactly the kind of modular, AI-first ecosystem Snowflake is building- and you get to benefit from all of it.

Final Thoughts

Snowflake is no longer just a data warehouse — it’s positioning itself as the intelligence layer for modern enterprises. With adaptive compute, built-in governance, and AI-powered app development, the platform is streamlining everything from data pipelines to machine learning. Whether you’re scaling infrastructure, deploying models, or launching AI-native apps, Snowflake is now your launchpad for innovation.