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ETL Job Cost Calculator

Work out etl job cost instantly with clear inputs, formula shown and shareable results.

About ETL Job Cost Calculator

ETL cost is worker-hours multiplied by the worker rate, and because duration falls as workers rise, the cost per run is roughly constant with parallelism — you buy speed, not savings. The real levers are processing less data through incremental loads and partition pruning, and cost per terabyte processed is the metric to track over time.

Formula

ETL cost

run hours = data / (workers x per-worker throughput); cost per run = run hours x workers x rate; monthly = cost per run x runs x 30.44

Worked example

With the default values below, ETL Job Cost Calculator returns Monthly ETL cost of $8,036.16. Change any input above and every figure here is recalculated in your browser.

Inputs used

Data processed per runminimum 0.001 TB
2 TB
Runs per dayminimum 0.001
24
Workers per runminimum 1
20
Worker hourly rateminimum 0
0.44

Results

Monthly ETL cost
$8,036.16
Cost per run
$11.00
Run duration
1.25 h
Cost per TB processed
$5.50

Step by step

  1. 1Values used
  2. 2ETL cost
  3. 3Monthly ETL cost= 8,036.16
  4. 4Cost per run= 11.00
  5. 5Run duration= 1.25 h
  6. 6Cost per TB processed= 5.50

Assumptions and limits

  • The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
  • In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
  • Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

Does adding workers reduce cost?

Not directly, since cost is worker-hours. It reduces wall-clock time, and can reduce cost slightly by cutting fixed startup overhead as a share of the run.

What is the biggest ETL cost reduction?

Incremental processing. Reprocessing the full dataset every run is the single most common and most expensive ETL antipattern.

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