Warehouse Analytics in Action

Use a familiar Postgres® interface to query petabytes of data with sovereign, hybrid deployment flexibility in seconds. EDB Postgres AI for WarehousePG delivers high-performance analytics on massive datasets without the cost of cloud data warehouses. See how you can:

  • Leverage MPP architecture to orchestrate parallel execution across multiple cluster segment nodes.
  • Connect directly to data lakes to join CSV and Parquet files.
  • Eliminate complex ETL processes while maintaining predictable costs through core-based pricing.

Choose your own demo path

Want to see a particular feature or capability in action? Go directly to the section you're interested in.

  • Part 1

    Introduction

  • Part 2

    WarehousePG-Powered Business Intelligence

  • Part 3

    MPP Architecture Overview

  • Part 4

    Demonstrating WarehousePG Segmentation

  • Part 5

    Using PXF for Data Lake Access

  • Part 6

    Combining Insights from CSV and Parquet Files

  • Part 7

    Closing

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