What would this cost you to build in-house?

Answer five questions about your data stack. We will show you what building and running it yourself would cost in engineers and calendar time, and what you keep by having Datum Labs do it.

What this means

Standing this up yourself means a hire you do not have yet. On our assumptions that is 7 months before anything is live, and $126,750 of payroll in the first year alone. We deliver the same scope in 12 working days for $22,033 across year one, and absorb the 9.5 hours a month of upkeep that follows. Each additional source moves the build roughly $1,435, so scope changes are easy to price as you go.

Methodology and assumptions
Inputs provided: 6 data sources, 10 to 100 GB in the warehouse, daily syncing, 12 KPIs, 1 in-house engineer at $130,000 base, $500/mo cloud and tooling.
The saving compares people cost, not tooling. Cloud, ingestion and BI spend is the same whoever builds the stack, so it is excluded from both sides. Our own fee is included in full on the Datum Labs side.
The in-house side is deliberately conservative. We do not charge you for salary during the hiring gap, we do not model recruiter fees, management overhead, or the cost of a bad hire. We assume your engineers are as fast as ours once ramped.
The in-house side is deliberately conservative. We do not charge you for salary during the hiring gap, we do not model recruiter fees, management overhead, or the cost of a bad hire. We assume your engineers are as fast as ours once ramped.
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The data foundation your whole team can work from — built by Datum labs.

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nidal
Nidal
Senior data engineer
humayun
Humayun
Senior data engineer
hadiqa
Hadiqa
Senior data engineer

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