Name: SBDK.dev
Rating: 5 (100 reviews)
Author: SBDK

Question 1

Is SBDK production-ready?

Accepted Answer

Yes! SBDK uses battle-tested tools (DLT, dbt, DuckDB) that power production data pipelines at thousands of companies. The CLI provides professional error handling, validation, and clear error messages.

Question 2

Can I use SBDK with cloud data sources?

Accepted Answer

Absolutely. SBDK supports all DLT sources (APIs, databases, SaaS apps). You ingest from cloud sources but process and analyze locally, avoiding data egress costs.

Question 3

How does local processing scale?

Accepted Answer

DuckDB can process millions of rows in seconds on a laptop. For truly massive datasets (100GB+), you can still use SBDK for development and deploy to a larger local or on-prem machine.

Question 4

Will you always offer a free tier?

Accepted Answer

Yes. SBDK core is MIT licensed and will always be free and open source. Future Team and Enterprise tiers will add collaboration features, but the core toolkit remains free forever.

Question 5

What if I need cloud deployment later?

Accepted Answer

Your SBDK pipelines are just Python code using standard tools. You can deploy them anywhere: Docker containers, Kubernetes, cloud VMs, or serverless functions.

Question 6

How is this different from running dbt locally?

Accepted Answer

SBDK gives you the complete stack (ingestion + transformation + analytics) with one command. No juggling multiple tools, configs, or databases. Everything works together out of the box.