Data Engineering

Proof-in-Minutes Lakehouse

Data Engineering
5 min read

Proof-in-Minutes Lakehouse

Cloud bills are exploding. Many enterprises spend $500–$2000/month just to keep data lakehouse environments idling.

That’s wasteful! Clients want live proofs in minutes, not static slides. Consultants need to show value without burning budget. Startups need to present to Proof of Concepts to Investors and Clients.

That’s where the Proof-in-Minutes Lakehouse changes the model:

These costs are GCP based and all deployment is Code as Infa using GitHub Actions. We deploy 2 separate cost center layers. #1 Foundation Layer #2. Compute Layer. Here are some cost analysis.

Foundation Layer – $3.19/month

The “always-on skeleton” that keeps everything production-ready at coffee-cost:

- BigQuery Storage: $1.00 (50 GB demo data, empty by default = no cost until loaded)

- GCS Bronze/Silver/Gold Lakes: $1.86 combined (lifecycle transitions keep storage cheap)

- Secret Manager: $0.18 (3 secrets with replication)

- Monitoring & Logging: $0.15 (budget alerts + observability)

- Pub/Sub Topics: $0.00 when idle

Total = $3.19/month idle cost

Compute Layer – $0.75–$4.00/hour

Wake the giant only when you demo. Four levels, cost-controlled:

- Minimal Demo ($0.75/hr): Cloud Run API, external tables

- Standard Demo ($1.25/hr): BI Engine acceleration, streaming pipeline

- Enterprise Demo ($2.50/hr): Multi-service orchestration, analytics API

- ML Showcase ($4.00/hr): Vertex AI + BigQuery ML + high-memory compute

Auto-cleanup ensures you never pay for forgotten demos.

The Economics

Traditional Lakehouse: $500–$2000/month always running

Proof-in-Minutes Lakehouse:

Idle: $3.19/month

Active: $0.75–$4.00/hour

That’s 99.1–99.8% savings while staying enterprise-grade.

D

Written by Data Engineering

Senior engineer with expertise in data engineering. Passionate about building scalable systems and sharing knowledge with the engineering community.

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