Similar Keynote, Different Platforms: What Snowflake and Databricks Are Really Competing For
- S2E11
- 43:14
- June 26th 2026
Snowflake and Databricks held their flagship conferences within a fortnight of each other and both independently built their entire keynotes around the same claim: the bottleneck for enterprise AI is not the model, it is the context.
When two direct competitors land on identical messaging at the same moment, the right response is to check the working. That's exactly what this episode of Eventual Consistency does.
Ross Katz joins Jason Bradwell to separate signal from positioning across both conferences, from Databricks' LDAP and the one copy of data promise, to the ontology race, to what Genie One actually tells us about how mature these agentic platforms really are. The through line is bigger than any single announcement: data gravity is no longer the moat it once was, and both platforms know it. The race now is to become the structured intelligence layer of your business and that changes how platform decisions should be made.
The real risk for data leaders right now is not backing the wrong preview feature. It is not experimenting at all.
Key topics covered
>> Why the "context not model" consensus is real and manufactured at the same time
>> What LDAP means for your data architecture
>> Why the ontology race matters more than the feature announcements
>> How to make a Snowflake vs. Databricks platform decision in 2026
>> What a mature agentic AI system actually looks like in practice
About the hosts
Ross Katz brings a background in analytics and data strategy, working with companies to cut through the noise and focus on what actually drives business value. With experience spanning industries such as e-commerce, education, biotech, and finance, as well as the evolving landscape of AI-enabled work, he focuses on the intersection of data capabilities and business outcomes. He's particularly interested in how shifts in technology change not just what's possible but also how people think about and use data in their daily work.
Jason Bradwell is a seasoned B2B marketing leader, founder of B2B Better and hosts Pipe Dream, where he explores how modern B2B companies can build media and marketing strategies that drive real revenue and audience growth.
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Eventual Consistency | Your Reality Check on What's Actually Happening in Data
The data leader's fortnightly reality check. No hype. No hot takes for engagement. Just honest conversation about what's actually happening in data and what it means for the work you're doing.
Every two weeks, we pick the stories dominating your feed, the acquisitions, product launches, frameworks, and controversies and discuss them the way you would with your team: critically, honestly, and with one question in mind: "What does this actually mean for my world?"
We're not here to sell you courses, predict the future, or tell you the sky is falling. We're here to cut through vendor claims that everything is "revolutionising" something, LinkedIn posts oscillating between doom and humble-brags, and tech journalism that treats every product launch like it's world-changing.
This is for VPs of Data, Analytics Directors, Data Engineering Managers, and senior practitioners who need to stay informed but don't have time to wade through whitepapers and noise. People making real decisions: Should we migrate to that warehouse? Is this ML use case worth it, or just shiny object syndrome? Why is everyone talking about this framework when it doesn't solve our actual problem?
In 20 minutes, you'll know what's worth your attention and what you can safely ignore. You'll get the perspective to make better decisions, ask vendors better questions, and avoid getting swept up in whatever trend is dominating feeds this week.
You'll hear from practitioners and consultants who've been in the room when these decisions go right and when they go spectacularly wrong. We know what the press release says. We also know what actually happens six months later.
Because in data, like in distributed systems, consistency is hard. But eventually, reality catches up with the hype.