Fivetran
When setup speed and managed reliability matter more than cost control, Fivetran gets pipelines running in hours — not weeks.
What It Is
Fivetran is a fully managed ELT platform with 700+ connectors. It handles schema evolution automatically, retries failures, and maintains connector code as sources change their APIs. You pay per monthly active row (MAR) synced, with a Free tier and paid Standard / Enterprise / Business Critical plans.
Why We Chose It
Fivetran's managed reliability is its main selling point. For companies that want pipelines that simply work — without a data engineer babysitting connector updates — Fivetran is hard to beat. The connector quality for major SaaS tools (Salesforce, HubSpot, Stripe, Shopify) is best-in-class.
One thing to watch: Fivetran and dbt Labs merged in October 2025, so choosing Fivetran increasingly means committing to the same vendor across ingestion and transformation. That's convenient for some teams and a lock-in concern for others — worth a conscious decision either way.
How We Use It
Evaluate whether Fivetran or Airbyte is the right fit based on data volume, team capacity, and connector needs
Provision and configure Fivetran connectors for CRM, marketing, finance, and product analytics sources
Optimize Fivetran sync frequency and filtering to control MAR costs
Integrate Fivetran-normalized schemas with downstream dbt or Dataform transformation layers
Set up dbt source freshness tests to detect Fivetran sync failures before they affect dashboards
Fivetran or Airbyte?
Choose Fivetran when:
- You need the most polished managed ELT available — zero maintenance
- Your sources are mainstream SaaS (Salesforce, HubSpot, Stripe, Shopify)
- You value zero-maintenance pipelines over cost optimization
Choose Airbyte when:
- Overall cost matters more than maximum polish — Airbyte is cheaper at most scales
- You need custom connectors for internal APIs or unusual sources
- You want vendor independence across ingestion and transformation (post Fivetran + dbt merger)
Choose direct API integration when:
- You only need one or two simple sources, no schema evolution needed
- You want full control over the integration logic
- Ongoing cost matters more than upfront engineering work