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 hybrid usage-based

Developer

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

Starter

$100/mo
  • dbt Wizard
  • dbt Catalog basic
  • dbt Semantic Layer basic
  • API access

Enterprise

Custom
  • dbt Catalog advanced
  • dbt Semantic Layer advanced
  • dbt Copilot advanced
  • 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
  • Infrastructure Management: Dremio-managed
  • Supported Infrastructure: AWS (Azure Coming Soon)
  • Upgrades: Automatic
  • Scalability: Automatic
  • Pricing Model: Consumption based
  • Free Trial: $400 credit for 30 days
  • Security: Enterprise Ready

Dremio Enterprise

Custom
  • Self-manage security, compliance, and data policies
  • AI Agent
  • AI Semantic Layer
  • Intelligent Query Engine
  • Open Catalog
  • Infrastructure Management: Self-managed
  • Supported Infrastructure: K8S (On prem) or Cloud (AWS, Azure, GCP)
  • Upgrades: Manual
  • Scalability: Manual
  • Pricing Model: Consumption based
  • Security: Enterprise Ready

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 hybrid 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/user/month, Starter isn't cheap for what's essentially a small-team tier — it signals dbt Labs is positioning as the premium standard in the analytics engineering space rather than competing on price. They're betting that teams already sold on dbt as a category (versus building it themselves) will pay up rather than shop around. Dremio: Dremio's consumption model undercuts the perceived cost of committing to a full data platform, positioning it as the low-friction entry point against heavier, contract-first competitors like Snowflake or Databricks. It's not fighting on being the cheapest per-query engine — it's fighting to be the easiest to start using, then relying on usage growth to build revenue.

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