dbt Labs vs Redpanda 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 Redpanda goes with hybrid. 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. Redpanda: They're positioning as the leaner, faster alternative to Kafka and Confluent — free tier undercuts Confluent's entry cost entirely, but the custom pricing on BYOC and Enterprise signals they're not chasing bargain-bin buyers. This is a middle-to-premium play aimed at infra teams who are tired of Kafka's operational overhead and want something simpler without going full-managed-and-locked-in like Confluent Cloud.

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