Always-On Analytics for the Modern Enterprise
What do analytics teams really need for their BI workloads? Consistent performance, controlled costs, and no limits on who can access data when. This report from McKnight Consulting Group proves how EDB Postgres AI for WarehousePG delivers on all fronts.
The challenge: The unpredictability problem
Most enterprise analytics workloads are actually predictable — daily dashboard refreshes, regular reporting cycles, consistent analyst queries. This is not what cloud analytics platforms were built for.
- Unpredictable costs: Consumption-based pricing is optimized for spikes. For routine analytics workloads, you're simply paying for compute you don't need.
- Concurrency degradation: Platforms built for variable workloads struggle when concurrent BI demand is steady and predictable — exactly the pattern most enterprises actually have.
- The agentic multiplier: AI agents dramatically increase concurrent query volume with largely predictable patterns — exactly the kind of steady, reliable demand that cloud pricing punishes most. And agents, unlike human users, have zero tolerance for inconsistent performance.
The solution: Consistent performance at lower cost
Up to 58%
Cost savings vs. cloud data warehouses
WarehousePG's capacity-based pricing keeps costs predictable — so you don’t get surprised by a 58% multi-cluster premium.
Up to 52%
More consistent concurrency performance
WarehousePG delivers up to 52% more consistent concurrency performance than cloud platforms when scaling from 1 to 5 concurrent users.
Validated performance and costs (February 2026)
Concurrency Slowdown — 1 User to 5 Users (TPC-DS, 10TB)
Platform | Compute Configuration | Concurrency Slowdown |
|---|---|---|
WarehousePG | Single Node: 96 cores, 1.5TB RAM, 45TB NVMe | 2.7× |
Snowflake Gen 2 | Large Warehouse | 3.9× |
Redshift Provisioned | 8 nodes ra3.4xlarge | 4.0× |
Databricks Serverless | Large SQL Warehouse | 4.1× |
Annual Platform Cost Comparison
Platform | Compute Configuration | Annual Cost |
|---|---|---|
WarehousePG | Single Node: 96 cores, 1.5TB RAM, 45TB NVMe | $222,886 |
Redshift Provisioned | 8 nodes ra3.4xlarge | $229,230 |
Databricks Serverless | Large SQL Warehouse | $246,049 |
Snowflake (no multi-cluster) | Gen 2 Large Warehouse | $284,561 |
Snowflake (multi-cluster ×3) | Gen 2 Large Warehouse | $351,953 |
*Snowflake multi-cluster assumes 20 hrs/week peak usage scaled to 3 warehouses (1,040 hrs/year); remainder at single warehouse.
"Most enterprise analytics workloads are predictable. WarehousePG is built to match that reality — delivering consistent performance under concurrent load, without the unpredictable costs of platforms designed for variable workloads."