Data Infrastructure Cost: What Should You Really Pay?
Most companies overpay for data infrastructure. Duplicate tools, oversized warehouses, pipelines nobody touches, and no clear picture of what their data infrastructure cost should actually be. Most don't even know where their data budget goes.
Free 30-min review · No commitment · You keep everything
Data infrastructure cost is what you pay to store, move, and serve your company's data: data warehouse compute, the pipelines that feed it, orchestration and BI tool licenses, and storage. For most companies it runs from a few hundred dollars a month to $50K+/month, and the biggest driver is usually waste: duplicate tools, oversized warehouses, and pipelines no one uses that quietly inflate the bill. A right-sized stack pays for what the business actually consumes, nothing more, which is exactly what a data architecture and cost review is built to uncover.
Last updated: June 2026
What the Data Infrastructure Cost Review Covers
You walk away with a written data infrastructure cost breakdown and target architecture proposal, yours to keep whether we work together or not.
Stack Audit
We map every tool in your data stack (warehouses, pipelines, orchestration, BI) and flag overlap, waste, and underused capacity.
Target Architecture
We propose what your stack should look like based on your actual needs, not what a vendor wants to sell you.
Cost Breakdown
A line-by-line breakdown of what your infrastructure should actually cost, so you can see exactly where the savings are.
From Zero Data Infrastructure to a Foundation 12 People Rely On
Health tech startup, ~50 employees, no data team. CEO was manually cross-checking AI-generated queries against raw database tables, 10+ hours a week just validating numbers.
We built their data foundation from scratch on dbt Cloud (free tier), automated quality checks, and documented everything so the team could maintain it without us.
Read the Full Case Study“They structured our dbt, reduced platform costs, and left documentation so thorough our team kept building on it. No dependencies, no technical debt.”
Victor G., CEO at ezaligner
What Is Fractional Data Engineering?
Same concept as a fractional CFO, senior data engineers you hire part-time. Here's what that means for you:
Your infrastructure reviewed by two engineers who've built data systems at multiple companies, not a junior following a checklist
We cap at three clients so yours gets real attention, no account manager buffer, you talk directly to the people doing the work
Recommendations based on what fits your architecture, no preferred vendors, no kickbacks
Everything documented so your team maintains it independently, no ongoing dependency on us
Built for companies spending $2K–$50K+/month on data infrastructure who suspect they're not getting full value.
Find Out What Your Data Infrastructure Should Cost
Free 30-minute review. No commitment. You keep the written cost breakdown and architecture proposal whether we work together or not.
Data Infrastructure Cost: Common Questions
What drives data infrastructure cost?
Data infrastructure cost is driven mostly by your data warehouse compute, the number and size of pipelines you run, orchestration and BI tool licenses, and storage. The biggest hidden driver is waste: duplicate tools, oversized warehouses, and pipelines no one uses that quietly inflate the bill every month.
How much does data infrastructure typically cost?
From a few hundred dollars a month for simple setups to $50K+/month for enterprise stacks. The problem is most companies don't know what they should be paying. Duplicate tools, oversized warehouses, and unused pipelines inflate costs without anyone noticing.
What is a fractional data engineer?
A senior data engineer you hire part-time, same concept as a fractional CFO. You get senior-level data infrastructure work without a full-time salary, benefits, or management overhead.
How much does a fractional data engineer cost compared to full-time?
A full-time senior data engineer costs $150K–$250K+ annually in salary alone, plus benefits and management time. Most of our clients get senior-level output at 30–50% of what a full-time hire would cost.
How can I reduce my data pipeline costs?
Audit what you actually use. Most companies have pipelines running that no one touches, duplicate data flows, or tools that overlap. We identify what's redundant, what's oversized, and what can be consolidated.
What does a data warehouse cost optimization review include?
Our free review covers your current stack and tools, how data flows through your systems, where costs are concentrated, and what a right-sized architecture looks like, with a written cost breakdown you keep.
How do I know if I'm overpaying for data tools?
Common signs: paying for tool tiers you don't fully use, running multiple tools that do the same thing, your warehouse processing data no one consumes, or pipeline costs growing without matching business value.