Airbyte 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.

Airbyte Dremio
Starts at $29/mo $0/mo
Number of plans 4 2
Free plan
Free trial
Pricing model usage-based usage-based

Free

$0/mo
  • Single user
  • API and MCP access
  • Context Store refreshes daily (hourly for the first 14 days)

Individual

$29/mo
  • Single user
  • API and MCP access
  • Context Store with hourly refresh

Team

Popular
$299/mo
  • Everything in Individual
  • Parallel workflow execution
  • Multiple users and workspaces
  • Standard and AI support

Custom

Custom
  • Everything in Team
  • Custom workspace limits
  • Custom Context Store refresh frequency

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

Airbyte vs Dremio FAQ

Which one is cheaper?
Dremio is the cheaper option, starting at $0/mo vs $29/mo for Airbyte.
Can I use either one for free?
Airbyte has a free plan. Dremio doesn't — though they do offer a free trial.
How do they charge?
Both use a usage-based 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. Airbyte: Airbyte built its reputation as the scrappy open-source alternative to Fivetran and Stitch, and that DNA shows — the free tier is genuinely generous. They're not trying to be the enterprise-first premium play; they're going after cost-conscious data teams who want flexibility without a five-figure contract. 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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