dbt Labs vs Starburst Pricing (2026)

Which one is cheaper?

One or both use custom pricing, so it depends on your specific needs.

Can I use either one for free?

Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.

How do they charge?

Different approach here. dbt Labs uses per-seat pricing, while Starburst goes with usage-based. That changes the math depending on your team size and usage.

Which one is a better deal?

Depends on what you need. dbt Labs: At $100/seat, they're not cheap — that's squarely mid-to-premium for a data transformation tool, putting them above scrappier open-source-first competitors but below full-stack data platform pricing. They're clearly targeting data-mature teams at growth-stage and enterprise companies, not early-stage shops watching every dollar. Starburst: Starburst isn't fighting on sticker price — the credit cost actually increases as you climb tiers, which is unusual and signals they're positioning as a premium, enterprise-grade Trino distribution rather than a budget query engine. They're chasing large data teams already committed to a multi-cloud or lakehouse strategy who'll pay more for reliability and support rather than startups hunting for the cheapest compute.

Still deciding? See the best dbt Labs alternatives or the best Starburst alternatives, ranked with verified pricing.