Reliable Analytics at Scale with WarehousePG

Overcoming the concurrency bottleneck

Modern analytics has evolved into a relentless, high-velocity stream of automated agents, constant dashboard refreshes, and spontaneous ad hoc exploration. For many organizations, this success creates a crisis: As concurrent demand rises, traditional data warehouses hit a performance wall and consumption costs skyrocket. To stay under budget, leadership is often forced to ration analysis—restricting who can query data and how often they can ask questions.

WarehousePG—the sovereign data warehouse built on EDB Postgres® AI (EDB PG AI)—is designed to break this bottleneck. By leveraging Massively Parallel Processing (MPP) architecture, WarehousePG provides a stable, petabyte-scale analytical database that thrives under high concurrency. Join us for a live demo and deep-dive panel discussion in which we show you how EDB PG AI for WarehousePG takes you from metered analytics to unhindered insights with predictable performance and cost control.

4 key takeaways

• Control the slowdown: Learn why your dashboards lag during peak hours and how to fix the problem.
• Kill the “success tax”: Scale your users and data volume without your monthly bill exploding.
• Eliminate ETL: Join S3 data with internal tables instantly—no data movement required.
• Get the freedom to run anywhere: Deploy high-performance analytics on-prem, in the cloud, or hybrid without vendor lock-in.