What is Fivetran?
Fivetran is a managed data movement platform with source connections, destination loading and related transformation and activation services. Its commercial model distinguishes monthly active rows from transformation model runs. Connector capability, destination behaviour and the chosen plan determine the actual pipeline scope.
Who is Fivetran for?
Data teams seeking managed ingestion into supported destinations with explicit usage accounting.
Fivetran features
The core capabilities to consider for your workflow.
- Managed source-to-destination connections
- Incremental data movement by connector
- Schema handling and sync monitoring
- Transformation and activation services by scope
Fivetran pricing
Free plan with separate usage limits
Model monthly active rows for each connection instance, then transformation runs and activations separately. Check applicable base charges, plan features and destination costs.
Calculate the cost of your quote →Free access & evaluation
The current Free plan includes up to 500,000 connection MAR, 3,500 activation MAR and 5,000 monthly model runs. These are distinct limits, not unlimited production usage.
Before you choose Fivetran
Verify the exact source, destination, sync behaviour and required plan.
Connection instances and destinations can change usage; warehouse costs remain separate.
Explore Fivetran in more detail
Take a closer look at the decisions behind this product.
Fivetran vs Airbyte: managed ingestion and usage units
Read the articleCompare Fivetran
Explore the individual profiles
Fivetran FAQs
Does Fivetran have a free plan?
The current Free plan includes up to 500,000 connection MAR, 3,500 activation MAR and 5,000 monthly model runs. These are distinct limits, not unlimited production usage.
Who is Fivetran for?
Data teams seeking managed ingestion into supported destinations with explicit usage accounting.
What should I compare before buying?
Check the tier that contains your essential features, confirm plan limits and compare the total quote with your own expected usage.

