Reliable Analytics at Scale with WarehousePG
Overcoming the concurrency bottleneck
Watch the full breakdown of how to transition from unpredictable, metered data access to a stable, core-based model that restores performance certainty using the Postgres® skills your team already has.
Webinar summary
We go beyond high-level concepts to show you the architecture that makes sovereign analytics possible.
- The “daily driver” vs. the “moonshot”: Learn a new strategy for strategic analytics offloading. Keep your legacy cloud warehouse for infrequent, massive “moonshot” queries, but move your high-concurrency “daily driver” workloads to WarehousePG to stop paying a premium for routine access.
- Kill the “success tax”: Traditional models punish you for curiosity—every query adds to the bill. We discuss the shift to core-based pricing, in which the cost of your 100th ad hoc query is exactly the same as your first.
- Scale-out architecture: See how we slice a 40M+ record table into distinct segments for parallelized query execution. This prevents the “noisy neighbor” effect and keeps dashboards fast, even during peak concurrency.
- Eliminate the ETL tax: Discover how the Platform Extension Framework (PXF) allows you to join internal tables with external S3 or Hadoop data instantly—no data movement or weeklong ETL cycles required.
Keep exploring
Ready to go deeper? Access these resources to validate the architecture and build your business case.
Take a comprehensive look at the technical specifications and deployment options for WarehousePG.
Find out how to transform your analytics platform.
Learn why your analytical database needs multiple clusters to do what WarehousePG does with one.