EDB Expands PostgreSQL Analytics with Open Source Add-ons

EDB Expands PostgreSQL Analytics with Open Source Add-ons

Introduction

EDB has launched a significant update to its PostgreSQL offerings with the introduction of EDB Postgres AI, a platform designed to consolidate transactional, analytical, and AI workloads into a unified environment. This newly enhanced data platform features a purpose-built engine optimized for cloud storage and high-performance querying.

Key Details

  • Who: EDB (EnterpriseDB)
  • What: The EDB Postgres AI platform integrates a new engine that enhances PostgreSQL with analytics capabilities, supporting columnar formats like Iceberg and Delta Lake.
  • When: Recently released, specifics on launch date are not provided.
  • Where: This update is designed for cloud infrastructures, leveraging scalable storage.
  • Why: The integration allows organizations to perform advanced analytics and AI operations directly within PostgreSQL, aiming for better performance and cost-efficiency.
  • How: The new engine utilizes Apache DataFusion, enabling queries to be processed 30x faster than standard PostgreSQL, while offering 6x better total cost of ownership (TCO) compared to SQL Server.

Why It Matters

This innovative platform offers several advantages for IT infrastructure:

  • Enhanced Analytics: Organizations can process analytical queries seamlessly within PostgreSQL, removing the need for separate data warehousing solutions.
  • Cost Efficiency: Cold transactional data can be tiered effectively, reducing storage costs significantly while maintaining performance.
  • Support for AI: The platform equips enterprises to execute AI workloads more efficiently, aiding in real-time data processing and decision-making.

Takeaway

IT managers and system administrators should evaluate how EDB Postgres AI can enhance their existing PostgreSQL deployments for analytics and AI use cases. Adopting this integrated solution may streamline operations and reduce infrastructure costs. Keep an eye on developments in analytics capabilities within traditional databases, as this trend could lead to significant shifts in your data strategies.

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Meena Kande

meenakande

Hey there! I’m a proud mom to a wonderful son, a coffee enthusiast ☕, and a cheerful techie who loves turning complex ideas into practical solutions. With 14 years in IT infrastructure, I specialize in VMware, Veeam, Cohesity, NetApp, VAST Data, Dell EMC, Linux, and Windows. I’m also passionate about automation using Ansible, Bash, and PowerShell. At Trendinfra, I write about the infrastructure behind AI — exploring what it really takes to support modern AI use cases. I believe in keeping things simple, useful, and just a little fun along the way

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