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Stop guessing which
data tools to choose.

Most data teams overspend on infrastructure they don't need. This guide covers real cost benchmarks across Snowflake, BigQuery, Redshift, and Databricks; fillable scoring matrices for warehouse, orchestration, and transformation decisions; and four battle-tested stack patterns with actual monthly costs at startup, mid-market, and enterprise scale.

5decision trees
23tools evaluated
4stack patterns

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Preview

Data Stack Decision Framework

What’s inside

  1. 01Why Your Data Stack Choice Matters More Than Ever
  2. 02Cloud Data Warehouses: Deep-Dive Comparison
  3. 03Real Cost Benchmarks: What Teams Actually Pay
  4. 04Warehouse Decision Matrix (Fillable)
  5. 05Data Orchestration: Beyond Airflow
  6. 06Orchestration Cost Analysis and Decision Matrix
  7. 07Transformation Layer: dbt and Beyond
  8. 08Transformation Cost Analysis and Decision Matrix
  9. 09Stack Architecture Patterns: 4 Proven Combinations
  10. 10The 5-Step Implementation Framework
  11. 11Cost Optimisation Checklist
  12. 12Next Steps and Free Stack Audit
Who it’s for

Built for the people who own the decision.

Head of Data

Justifying stack decisions to the board without a coherent framework.

Data Engineer

Inheriting a legacy stack and needing to modernise without blowing up production.

CTO / VP Engineering

Evaluating vendor proposals and separating substance from sales pitch.

Want us to apply it to your stack?

Book a free 30-minute strategy audit. We’ll walk through the framework together and tell you exactly where your current stack needs attention.

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