Sept. 3, 2026

Multimodel Data Platforms in the Agentic Era

A fireside conversation with Forrester

AI runs on the data layer

For a decade, the industry playbook was "move everything to the lake." In the agentic era, that's backwards: intelligence is moving to the data, reversing a decade of data-gravity flows. Machines are replacing humans as the primary consumers of data platforms, and database and AI-platform capabilities are converging into one product surface. That shift changes what a data platform actually has to do, as discussed in the new The Forrester Wave™: Multimodel Data Platforms, Q2 2026.

Join Lizzy Nguyen (EDB) and featured speaker Indranil Bandyopadhyay (Forrester), to dissect the multimodel data-platform market: where it's heading, what a converged approach unlocks, what enterprise buyers need to watch out for, and how to approach adoption.

.

What you'll learn

  • Where the market is heading

    Autonomy is moving into the data-management layer. It's semantics and ontology, not raw model count, that increasingly decide which platforms win.

     

  • What multimodel requires under the hood

    A single SQL interface and one security model reach across relational, vector (pgvector), time-series, and geospatial (PostGIS) data while holding ACID integrity over all of it. That's what lets agents query live data in the engine instead of working from stale copies.

     

  • Why a convergence model works

    One operational system instead of a fragmented stack, running transactional, analytical, and agentic. A single query surface multiplies developer and agent productivity. Governance enforced in the database at the moment of action.

     

  • A practical adoption playbook

    How to map your workload portfolio against a platform's published ceilings before committing the estate, and buy for today's workloads while holding agentic readiness as a low-cost option on the database you already trust.

     

Speakers

  • Featured Speaker

    Indranil Bandyopadhyay

    Principal Analyst, Forrester

    Indranil Bandyopadhyay is a principal analyst at Forrester and a core member of the Data, AI & Analytics team. His focus areas include data and AI strategy, data platforms, computer vision, and knowledge graphs. His research examines how data and AI are reshaping organizations across various sectors. He brings deep domain insight into financial services and insurance, particularly from a technology perspective.Indranil advises business and technology leaders on building effective strategies, creating differentiated customer experiences, and delivering sustainable growth. He is based in the Netherlands and works with clients worldwide.

  • Moderator

    Lizzy Nguyen

    Director of Product Marketing, EDB

    Lizzy Nguyen helps enterprises rethink how they bring AI to the data they already have, without giving up control or sovereignty. As Director of Product Marketing for EDB Postgres AI, she leads the story behind a unified platform for running agentic AI, analytics, and transactional workloads on Postgres. She has spent years in B2B product marketing at companies like Amazon, AWS, and Vizio. Based in Southern California, she's passionate about helping technical teams cut through AI hype and find what's actually going to work for their business.

Get your complimentary copy of the Forrester report.

Get your copy
Book a demo

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester’s objectivity here.