The Emerging Blueprint for Agentic Apps

Why Postgres is the foundation for a new data processing architecture

AMER Nov 10 / 10 AM PT
APJ Nov 11 / 9:30 AM IST / 12 PM SGT / 1 PM JST/KST / 3 PM AEDT (Japanese and Korean captions available)
EMEA Nov 12 / 9 AM GMT / 10 AM CET

Providing your agent with live application state, historical data and a unified security model means stitching together infrastructure with pipelines you need to monitor and fix.

What if you could skip the data transfer altogether? Lake Transactional/Analytical Processing (LTAP) lets transactions and analytics read from the same copy of data by storing it in open formats on standard Postgres.

Join Reynold Xin, Databricks Co-founder and Chief Architect, for an overview of this new architecture and a demo. We’ll cover:

• How LTAP brings agent memory, application state and historical data under the same permissions
• Removing sync intervals as a bottleneck for the agent memory loop while maintaining performance and availability
• Compatibility with your drivers, extensions and ORMs by running on standard Postgres

Registrants receive resources to further explore the presented materials after the event.