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The Line Item
Nobody's Auditing

When budgets tighten, the first thing that gets cut is the ability to use your own data. Here’s how to cut costs without cutting capability.

Calculate Your Savings

Where the Money Actually Goes

It’s not storage. The real expense is the human and infrastructure tax on querying — the cost of keeping your data usable, not just stored.

  • Per-query bills that scale with every AI agent you deploy. Every dashboard refresh, every agent loop, every ad-hoc analysis — each one adds to a metered bill that grows faster than your data does.
  • 3–4 specialist hires just to keep the lights on. Data engineer, DevOps, warehouse admin, FinOps analyst. These roles exist to manage infrastructure, not build product.
  • 5–7 vendor contracts. Database, warehouse, ETL, search, stream processor, cache, cost management tool. Each with its own renewal, its own negotiation, its own integration surface.
  • Throttled analytics. When the query bill gets scary, teams stop exploring. Dashboards get simplified. Questions go unasked. The data is there — you just can’t afford to look at it.

Four Cuts That Don’t Hurt

Reduce spend without reducing what your team can do.

Kill the per-query bill

Capacity pricing means queries cost $0 incremental. Your AI agents, dashboards, and analysts don’t compete for budget.

From $53/day + $40/day per TB

One vendor, one bill

Replace 5–7 data infrastructure contracts with one. When procurement freezes hit, you’re not renegotiating with five vendors. You’re not managing five relationships.

Your team goes further

A web engineer or full-stack dev can build what used to require a dedicated data engineering team. Not fewer people — more output per person.

AI agents stay on

In a downturn, companies that can still run AI against their data have an edge. Per-query pricing makes that unaffordable at scale. We make it free.

The Math

Traditional Stack (Annual)Cost
Snowflake / Databricks$100K–$600K (scales with queries)
ETL tooling$50K
Search cluster$40K
FinOps / monitoring$30K
2 additional specialist hires$360K
Total$1M+
MinusOneDB (Annual)Cost
Pro instance + 1TB storage($96 + $80) × 30 × 12 = $63K
Additional hires needed0
Per-query overage$0
Total$63K
Your numbers will be different. That’s what the calculator is for.
Run Your Numbers

Who This Is For

CFOs

Looking to cut 20–30% from data infrastructure without losing capability. One vendor, predictable billing, no query surprises.

CTOs

Consolidating vendors during a procurement freeze. Replace a sprawling stack with one platform that does more with less.

Engineering Leads

Whose team spends more time on infrastructure than product. Get your engineers back to building what matters.

AI-Forward Companies

Deploying AI agents that are hitting per-query cost walls. Capacity pricing means your agents run without a meter.