dbt Labs vs Redpanda Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

dbt Labs pricing Redpanda pricing
Starts at $100/mo Custom
Number of plans 4 3
Free plan
Free trial
Pricing model hybrid hybrid

Price is one row. To weigh the features too, use our feature comparison template →

Developer

$0/mo
  • Browser-based IDE
  • Multi-factor authentication (MFA)
  • Job scheduling and monitoring
  • CI checks on Github and GitLab
  • Upgrade to the latest dbt release automatically

Starter

$100/mo
  • Lineage with dbt Catalog
  • Define & query metrics with dbt Semantic Layer
  • dbt Semantic Layer basic
  • API access

Enterprise

Custom
  • Column-level lineage in dbt Catalog
  • Governed metrics with caching
  • Multi-project architecture (dbt Mesh)
  • SSO, Role-Based Access Control, and SCIM provisioning
  • Priority suport with SLAs

Enterprise+

Custom
  • PrivateLink
  • IP Restrictions
  • Run dbt in your own environment (Hybrid Projects)

Serverless

$0/mo
  • Multi-tenant AWS, GCP
  • 100 MB/s max write throughput
  • 300 MB/s max read throughput

Bring Your Own Cloud

Custom
  • In your cloud AWS, Azure, GCP
  • 2 GB/s max write throughput

Enterprise Edition

Custom
  • Built-in HTTP proxy & schema registry
  • Prometheus support

dbt Labs vs Redpanda FAQ

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?
Both use a hybrid model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. dbt Labs: dbt Labs isn't competing on price — the free Developer tier is a land-and-expand move, not a signal they're the budget option. They're positioning as the category-defining standard for analytics engineering, so the real competition is convincing teams to pay for orchestration and governance instead of duct-taping open-source dbt Core themselves. Redpanda: Redpanda plays as the performance-focused alternative to Kafka and Confluent, leaning on 'no ZooKeeper, no JVM' as a technical wedge rather than a price wedge. The free serverless tier undercuts Confluent's more enterprise-heavy sales motion for small teams, but once you're in BYOC or Enterprise territory, pricing is opaque and clearly aimed at matching (not undercutting) what large data platform teams already expect to pay.

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

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