Last week was a very busy week for Snowflake. Honestly, it was a bit overwhelming.
Between Snowflake BUILD and the Superhero Council sessions, it felt like one long, caffeine-fueled download of innovation. With everything that was announced, there was almost more to take in than at Summit, just without all the stage lights and pyrotechnics.
But in many ways, that made it even more exciting. Because what BUILD showcased wasn’t hype, it was substance. Feature after feature that continues to transform Snowflake from a data warehouse platform into the AI Data Cloud.
The rate at which Snowflake keeps releasing new capabilities is astonishing. It’s getting hard to keep up. (Good problem to have, right?)
By my count, and this isn’t official Snowflake math, its Keith math.There were roughly 40 new capabilities or enhancements introduced or highlighted last week.
Here’s a snapshot of a few of the biggest GA announcements that stood out to me:
Each one of these is powerful on its own. But collectively, they represent a continuation of the fundamental shift in what Snowflake is becoming: a fully programmable, interoperable, AI-ready data platform that lets organizations build anything on top of their data.
And yet… that’s also where the challenge begins.
For years, Snowflake has done an incredible job of abstracting away infrastructure. You don’t worry about clusters, scaling, or storage layers. But as the platform matures, we’ve entered a new phase, one where the complexity has shifted upward.
It’s no longer about managing compute. It’s about managing capability.
Every new feature introduces new questions that no release note can answer.
These aren’t technical gaps in Snowflake. They’re operational gaps inside organizations.
Snowflake’s velocity is incredible. But with every new capability, the onus shifts to the customer to operationalize it safely, to ensure its tested, governed, observable, and repeatable.
That’s the paradox of progress: the faster Snowflake innovates, the more disciplined we, as practitioners, need to become.
This is where DataOps Automation stops being a luxury and becomes a necessity.
We’ve officially entered an era where AI moves faster than human processes. Models iterate weekly, data products evolve daily, and business decisions are expected in real time. The speed of innovation isn’t slowing down, it’s accelerating.
And that’s where the traditional, manual ways of working start to break. Spreadsheets, ad hoc scripts, and copy-paste deployments can’t keep pace with the demands of an AI-driven enterprise.
DataOps Automation provides the framework, and the muscle, to bring order to that velocity. It turns the principles of DataOps into repeatable, executable workflows. It’s the connective tissue between innovation and reliability, ensuring every new capability you adopt actually works in production, not just once, but continuously.
At its core, automation is about trust at scale.
Trust that your data is tested every time it moves.
Trust that when you promote changes from dev to prod, they behave exactly as intended.
Trust that lineage, security, and quality are observable in real time, without waiting for a manual review.
Without automation, every new Snowflake feature becomes another moving part to manage, patch, or fix. With it, you unlock a sustainable rhythm, continuous delivery of data with continuous assurance of quality, governance, and security control.
In short, DataOps Automation is what turns the pace of Snowflake innovation into something your organization can actually keep up with.
Recognizing the need for DataOps automation and actually putting it into practice are two very different things.
That’s where DataOps.live comes in, the platform purpose-built to bring DataOps automation directly into the Snowflake AI Data Cloud, transforming how teams operationalize data pipelines and AI workloads.
At the heart of this is Dynamic Delivery, the Snowflake Native App that delivers fully native CI/CD automation for Snowflake.
Dynamic Delivery operates entirely within your own Snowflake account. There’s no external infrastructure to manage, no third-party connectors to ensure everything runs natively, under your existing governance, security, and data policies.
With Dynamic Delivery, teams can declaratively define and deploy every aspect of their Snowflake environment, from databases, schemas, and roles to Snowpipes, Streams, Tasks, and even Cortex integrations, all through version-controlled pipelines. Every change is tested, validated, and promoted safely across environments, enabling continuous delivery for Snowflake at an enterprise scale.
But automation alone isn’t enough. As data pipelines, models, and workloads multiply, teams need intelligent assistance to navigate that complexity — and that’s where Metis comes in.
Metis is DataOps.live’s Data Engineer AI Agent, designed to work as a force multiplier alongside engineers and architects directly within Snowflake. It understands Snowflake, DataOps, and your environment, from your objects and lineage to your data products and deployment history.
Metis provides contextual insights, generates SQL or configuration recommendations, and proactively guides practitioners through debugging, optimization, or deployment workflows. In doing so, Metis turns organizational knowledge into operational intelligence, helping teams move faster while maintaining governance, quality, and confidence.
Together, Dynamic Delivery and Metis establish the foundation for DataOps.live Momentum, the next evolution of automation and the engine for the AI-Ready Data Products.
Snowflake drives innovation. DataOps.live operationalizes it, natively, intelligently, and automatically.
And the best part? You don’t need to sign a contract, talk to procurement, or wait for a sales cycle to see it in action. Dynamic Delivery is free to get started, running entirely inside your own Snowflake account. You even get 500 free minutes every month before any Snowflake credits are consumed, giving you plenty of room to explore, experiment, and see the value for yourself.
Whether you spin it up in your organization’s Snowflake account or kick the tires on a Snowflake Trial account, Dynamic Delivery makes it easy to experience what DataOps automation really feels like.
Because keeping up with Snowflake’s innovation shouldn’t require custom development.
It’s the difference between chasing Snowflake’s velocity and matching it confidently and continuously.
Take a hands on lab to see how easy it is. You'll have your first Snowflake native CI/CD pipeline in under an hour!