Summit week always packs a lot into a few days, but in June 2025 the signal cut through the noise. The product roadmap was full of exciting updates, yet what stayed with us were the conversations on the floor, the clear direction the platform was heading, and the ways these shifts line up with how we at Viewnear help our clients build smarter, faster, and more future-ready data solutions.
Snowflake Intelligence: natural language with structure behind it
A big announcement was Snowflake Intelligence, a natural language interface that lets users ask questions of their data in plain English.
It's not the first time we've seen this idea, but this version felt solid. It's built on governed, secure data. It respects roles, models, and access levels. That alone gives it a much stronger foundation than most.
Snowflake Intelligence stood to streamline how teams interact with data, with real potential to speed up insight and reduce reliance on dashboards. But, as always, the real impact comes from thoughtful implementation. Matching it with the right data models and use cases is key.
Cortex AISQL: AI where your data already lives
Cortex AISQL also made a strong impression. It gives teams the ability to apply generative AI directly within SQL. You can summarize documents, analyze feedback, and classify unstructured data, all without moving anything out of Snowflake.
It's powerful, and it's clean. But like most tools, the real value depends on how it's applied: the choice of use case, how you prepare the data, how you define prompts. These are the details that decide whether AI is helpful or just interesting.
Cortex AISQL immediately opened conversations with our clients about practical ways to experiment. Not just proof of concept for the sake of it, but solutions that tie directly to business goals.
Adaptive Compute and Gen 2 Warehouses
On the performance side, Snowflake announced Adaptive Compute and Gen 2 Warehouses. These upgrades make warehouses smarter. They scale more intelligently and manage resources with less manual effort.
It's a quieter change, but a meaningful one. For us, it means more efficient designs, simpler tuning, and better cost control across the board. These are the kinds of things that do not need a spotlight, but have real downstream impact in everything from architecture to day-to-day operations.
Better defaults for security
Security improvements also came through clearly. At Summit 2025, Snowflake announced passkeys to replace passwords, stronger multi-factor authentication, and monitoring for leaked credentials.
This is the kind of platform-level shift that makes our work more effective. When the tools we build on already bake in strong security and identity controls, we can spend more time on strategic data access design and less time compensating for weak foundations.
dbt Projects now native in Snowflake
This was one of those announcements that might sound small at first but has a big impact on how teams work. At Summit 2025, Snowflake announced native support for dbt Projects directly in the Snowsight UI, with public preview to follow shortly after. It brings a much tighter development loop to analytics engineering.
This is great news for teams trying to streamline development workflows, reduce tool switching, and make version control more natural. And it gives Viewnear another layer of optimization we can offer when building or modernizing client pipelines.
A quick note on Openflow and Datavolo
Openflow, tied to Snowflake's 2024 acquisition of Datavolo, was the piece we were watching most closely in June 2025. It signals a move toward handling more complex data movement and orchestration directly within the Snowflake ecosystem.
Openflow's full picture was still developing at the time, but it pointed toward new options for how teams manage data pipelines, especially at scale. Viewnear looked for ways to bring it into client architectures where it made sense, including a project already underway.
A sense of direction
What really struck us, beyond the announcements, was the tone of the Summit itself. The focus was not just on what's possible, but on what's usable. The room felt full of people who are doing the work. Not just talking about the future, but actively shaping it.
As a firm that spends every day inside Snowflake with clients, that energy hit close to home. There was a shared sense that the platform was maturing fast, and that the next phase of data and AI integration would need teams able to translate potential into progress.
What we did next
Back at Viewnear, we acted on what we saw: planning Cortex AISQL pilots, updating our architecture baselines to reflect the Gen 2 warehouse changes, and helping a few clients scope out how Snowflake Intelligence could work inside their orgs.
As always, the goal is not to implement everything at once. It's to make smart, forward-looking moves that set our clients up for what's coming next.
If you're thinking about where to start or how to make sure these tools actually drive impact, let's talk.
We came back inspired and ready to build.
