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EDB Postgres® AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era

prnewswire.com
SNOW The article suggests Snowflake is more expensive and less consistent in high-concurrency scenarios compared to EDB Postgres AI for WarehousePG, which offers cost savings and better performance in such workloads. AMZN Amazon Redshift is presented as a cloud data warehouse that EDB Postgres AI for WarehousePG outperforms in terms of cost savings and consistent performance for high-concurrency workloads relevant to agentic AI.

EDB Postgres® AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era Independent benchmark by McKnight Consulting Group reveals EDB Postgres AI for WarehousePG delivers up to 58% cost savings and more consistent concurrent performance, while new platform features accelerate readiness for autonomous AI workflows.

WILLMINGTON, Del., March 31, 2026 /PRNewswire/ -- EnterpriseDB (EDB), the leading sovereign AI and data company, today announced the results of an independent benchmark study by McKnight Consulting Group demonstrating that EDB Postgres AI (EDB PG AI) for WarehousePG delivers up to 58% total cost of ownership (TCO) savings compared to leading cloud data warehouses. Alongside these benchmark results, EDB released its Q1 platform updates, delivering a suite of new features engineered to support the rigorous demands of the agentic AI era.

As enterprises move toward AI-driven automation, the rise of agentic AI is forcing analytics and operations to converge. Traditional enterprise data stacks—built by attaching specialized platforms for transactions, analytics, and AI—introduce fragmented governance, unpredictable latency, and runaway compute costs.

Because AI agents retrieve, analyze, decide, and act against live enterprise data in continuous, high-volume workflows, they dramatically amplify these inefficiencies.

To successfully transition from AI experimentation to scale, organizations require a unified, sovereign foundation where analytics, operations, and AI are governed together by design.

McKnight Benchmark: Consistent Performance at Lower Cost

The McKnight Consulting Group evaluated EDB PG AI for WarehousePG against Snowflake, Databricks, Amazon Redshift, and Hive on Apache Iceberg using a 10TB extended TPC-DS dataset. The rigorous testing focused on high-concurrency mixed workloads that simulate the reality of modern enterprise business intelligence (BI) and agentic workflows.

Key findings from the benchmark report include:

"Currently, many organizations are trapped in a cycle of operational friction, facing system instability during peak reporting periods or scaling back their data science ambitions to stay within budget," said William McKnight, President of McKnight Consulting Group. "The results demonstrate that while cloud warehouses suit high-performance analytics for the most demanding queries, EDB PG AI for WarehousePG works efficiently for the high-concurrency analytics that power daily operations, providing consistent performance with better cost efficiency. This reveals the merits of a hybrid approach."

"As agentic AI collapses the traditional boundaries between transactional, analytical, and AI workloads, enterprises can no longer afford the latency and unpredictable costs of fragmented cloud data warehouses," said Nancy Hensley, Chief Product Officer at EDB. "This benchmark proves that you don't have to trade cost for scale or sovereignty. With our Q1 platform updates, we are providing the unified, predictable, and governed foundation required for the next generation of autonomous agentic workflows."

Q1 2026 Platform Updates: The Sovereign Safe Harbor for the Agentic Era

To further enable organizations to build and deploy autonomous agents at scale, EDB's Q1 release introduces major enhancements across the EDB Postgres AI platform:

For more information and to download the full McKnight Consulting Group benchmark report, A Comparative Performance and Cost Analysis of Modern Analytical Data Platforms, visit www.enterprisedb.com/resources/mcknight-predictable-analytics-at-scale.

About EDB

EDB Postgres ® AI (EDB PG AI) is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on-premises and across clouds. Built on Postgres, the world's leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community. To learn more, visit www.enterprisedb.com.

Media contact:

Steph McGuirk

Interdependence

(845) 269-8868

[email protected]

EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners.

SOURCE EnterpriseDB