AgentsThe story, in brief

Takeaways From The Forrester Wave™: Data Lakehouses, Q3 2026

Data lakehouses are no longer just analytics warehouses—they're now the operational backbone of agentic AI in the enterprise.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI shifts from insight generation to autonomous execution, the infrastructure beneath agents (governed, real-time data delivery) has become a competitive requirement. Practitioners deploying agents need to understand how lakehouse platforms now compete on agent-readiness, not just query speed.

The key facts

9 to know
  1. Forrester Wave evaluation of data lakehouse vendors (Q3 2026)

  2. Lakehouse architecture repositioned as operational foundation for agentic AI

  3. Key capability shift: trusted, governed, real-time data delivery for agent reasoning and execution

  4. Agent deployment driving rethinking of enterprise data infrastructure expectations

  5. Lakehouse market positioning has shifted from analytics consolidation to agent operational foundation

  6. Enterprises deploying agents require real-time, governed, trusted data pipelines

  7. AI execution (agent action) now drives lakehouse architecture requirements, not just insight generation

  8. Forrester Wave Q3 2026 evaluation of data lakehouse vendors

  9. Agent deployment forcing rethink of enterprise data infrastructure expectations

Go to the source

Forrester Blogforrester.com

Publisher excerpt: The enterprise data lakehouse is evolving. Once designed primarily to consolidate data for analytics, today’s lakehouse has become the operational foundation for agentic AI, delivering the trusted, governed, and real-time data that intelligent agents require to reason and act. As AI shifts from…
Read original report
Back to today's editionMore agents news

Keep reading

Related stories

More from Agents