dbt Labs vs Dremio 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 Dremio
Starts at $100/mo $0/mo
Number of plans 4 2
Free plan
Free trial
Pricing model per-seat usage-based

Developer

$0/mo
  • Browser-based IDE
  • Multi-factor authentication (MFA)
  • Job scheduling
  • Keep on the latest dbt release

Starter

$100/mo
  • dbt Catalog basic
  • dbt Semantic Layer basic
  • dbt Copilot code generation
  • API access

Enterprise

Custom
  • dbt Catalog advanced
  • dbt Semantic Layer advanced
  • dbt Copilot
  • dbt Canvas
  • dbt Insights
  • dbt Mesh

Enterprise+

Custom
  • PrivateLink
  • IP Restrictions
  • Rollback
  • Hybrid projects

Dremio Cloud

Popular
$0/mo
  • Fully managed with automatic scaling and optimization
  • AI Agent
  • AI Semantic Layer
  • Intelligent Query Engine
  • Open Catalog

Dremio Enterprise

Custom
  • Self-manage security, compliance, and data policies
  • AI Agent
  • AI Semantic Layer
  • Intelligent Query Engine
  • Open Catalog

dbt Labs vs Dremio FAQ

Which one is cheaper?
Dremio is the cheaper option, starting at $0/mo vs $100/mo for dbt Labs.
Can I use either one for free?
dbt Labs has a free plan. Dremio doesn't — though they do offer a free trial.
How do they charge?
Different approach here. dbt Labs uses per-seat pricing, while Dremio 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. Dremio: Dremio's undercutting the classic 'pay for idle warehouse time' model that Snowflake and Databricks are historically criticized for, positioning itself as the leaner lakehouse query engine. It's aimed at data teams who want Snowflake-like SQL performance without committing to a warehouse-sized budget before proving out the use case.

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