Why Postgres is the foundation for a new data processing architecture.

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, on Nov 10-12 for an overview of this new architecture, a demo and benchmark. 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.