Snowflake’s Latest Innovations: World Tour Key Takeaways
Published
October 22, 2025
As a Snowflake Premier Services Partner, the OneSix team was proud to join the Snowflake World Tour events in New York, Chicago, and São Paulo, where we saw firsthand how Snowflake continues to redefine what’s possible in data and AI. Across every stop, the message was clear: the future of data is open, intelligent, and seamlessly connected.
We left this year’s tour inspired by how Snowflake is shaping the future of data and AI — and by the practical innovations that will help organizations build modern, scalable platforms. Learn more about the key announcements and insights below.
OpenFlow
Revolutionizing Data Integration
Snowflake introduced OpenFlow, a managed data integration framework powered by Apache NiFi. It’s designed to seamlessly connect structured and unstructured data sources directly into Snowflake.
This is the missing bridge for many organizations—simplifying the path from data source to Snowflake while maintaining control and observability. For teams struggling with fragmented pipelines or hybrid environments, OpenFlow promises a unified, open, and extensible way forward.
Snowflake Intelligence
Conversational AI Meets the Data Cloud
Snowflake continues to blur the line between analytics and AI with Snowflake Intelligence. This new suite of capabilities enables interactive, conversational exploration of your data warehouse through AI agents, semantic views, and unstructured data search.
Imagine a business analyst being able to “ask” Snowflake for insights without ever writing a query — that’s where this is headed. It’s a major step toward democratizing data and empowering teams across the organization to engage directly with information.
dbt + Snowflake
A Stronger Partnership for Data Transformation
The dbt and Snowflake partnership continues to deepen, making it even easier for teams to build, test, and manage transformation workflows natively inside Snowflake. The new integrations simplify semantic layer creation and streamline how business logic is applied to data models.
At OneSix, we’ve long relied on dbt as part of scalable, modern data architectures — and these updates confirm that dbt and Snowflake are foundational tools for any data-first organization.
Performance Explorer
Visualize and Optimize Query Workloads
Snowflake unveiled Performance Explorer, a new visual interface for understanding and optimizing query performance — no SQL required. Teams can now monitor query workloads, identify anomalies, and drill into warehouse or table-level metrics with ease.
This is a major win for data engineers and platform teams looking to keep environments optimized while empowering less technical users to monitor performance visually.
SnowConvert AI
Accelerating Migrations to Snowflake
Finally, SnowConvert AI introduces a smarter, faster way to modernize legacy platforms. The tool analyzes existing SQL from systems like Oracle, SQL Server, and Teradata, then automatically converts it to Snowflake SQL — helping teams migrate with confidence and unlock Snowflake’s capabilities sooner.
For organizations tackling modernization projects, this is a game changer that reduces risk and accelerates time-to-value.
Our Perspective on What’s Next
Snowflake’s latest advancements reaffirm the importance of building data platforms that are both intelligent and accessible. These innovations make it easier than ever to move, manage, and understand data at scale. At OneSix, we’re focused on helping teams translate these capabilities into real value — from smarter integration to AI-driven insight.
Want to explore the art of what’s possible with AI in Snowflake? Let’s talk.
Written by
Lucas Barbosa, Senior Solutions Architect