The New Analytics Stack Is Converging. Who Will Own It?

Why Consolidating Your Analytics is Really a Question of Control

The analytics stack is converging, and the payoff is real: less duplicated data, fewer pipelines to maintain, faster time to insight. But convergence comes with a question: who’s in control?

Many paths to a unified stack solve the pipeline problem, but force you to rely on vendor-controlled formats, engines, deployment, and cost, leaving your data strategy at their mercy. This session looks at convergence through the lens of ownership: what it takes to consolidate without giving up control — so you can own the full data lifecycle, from core operational data to long-term historical records to the agents that access them.

What you'll learn:

• Why the analytics stack is converging now, and which drivers are real versus hype
• Where most convergence paths cost you control over your data's formats, location, and price
• What it looks like to converge on open foundations: open engines, not only open formats, with Postgres at the core
• The economics of staying in control, including independent McKnight benchmarks of up to 58% lower TCO and up to 52% more consistent concurrency
• How Kyobo Book Centre reclaimed data sovereignty while cutting its cloud costs

Join us for 30 minutes of presentation and live Q&A.