Fivetran is the managed-ELT heavyweight for end-to-end data movement. 900+ connectors, ingestion and activation from one place. The right choice when it's not just marketing data that matters.
What is Fivetran?
Fivetran moves data automatically from source systems into the warehouse, across more than 900 managed connectors. The pipelines maintain themselves, and schema changes are picked up automatically. Since the Census acquisition, Fivetran also covers reverse-ETL, the path back out of the warehouse into operational tools.
That makes Fivetran more than a marketing tool. It's a data platform across all domains: marketing, ops, finance, product. That's exactly where it differs from a focused tool like funnel.io.
When Fivetran fits, and when it doesn't
A fit when:
- a broad, managed connector portfolio is needed
- data from multiple domains converges, not just marketing
- end-to-end data movement from one place matters
- a data team needs governance and lineage
Less so when:
- only marketing data matters, where funnel.io is leaner
- volume makes the MAR pricing expensive
- a focused tool does the job more cheaply
Fivetran vs. funnel.io
| Criterion | funnel.io | Fivetran |
|---|---|---|
| Focus | marketing data | all data sources |
| Connectors | 500+, marketing-centric | 900+, broad |
| Harmonisation | built in | in the warehouse via dbt |
| Reverse-ETL | no | yes, since Census |
| Cost for marketing-only | cheaper | higher |
| Best fit | marketing stack | multi-domain platform |
What Datascale builds with Fivetran
We decide the architecture first, then build:
- an assessment of whether Fivetran or a focused tool is the right path
- setup of the connectors and target schemas
- load into BigQuery or Snowflake
- transformation with dbt
- optional activation via Fivetran Activations
- monitoring of pipelines, costs, and data quality
The full picture lives in the Marketing Data Lakehouse. We don't sell Fivetran as a default, only when its breadth justifies the premium over a focused tool.
