datascale
ETL / Reverse-ETL

Fivetran: Managed ELT With 900+ Connectors

Managed-ELT heavyweight with 900+ connectors. Since the Census acquisition, Fivetran covers ingestion and activation, end-to-end data movement from one place, when it's not just marketing data that matters.

  • 900+ connectors, a broad managed portfolio
  • ingestion and reverse-ETL from one place
  • reliable, managed pipelines
  • EU data processing with a DPA

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

Criterionfunnel.ioFivetran
Focusmarketing dataall data sources
Connectors500+, marketing-centric900+, broad
Harmonisationbuilt inin the warehouse via dbt
Reverse-ETLnoyes, since Census
Cost for marketing-onlycheaperhigher
Best fitmarketing stackmulti-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.

Topical context

  • Fivetran setup
  • managed ELT
  • Fivetran connectors
  • Fivetran vs funnel.io
  • Fivetran BigQuery
  • Fivetran Activations Census
  • Fivetran integration agency
  • Fivetran implementation

Get the setup built right, from Measurement Blueprint to monitoring and rollback.

Book an Audit Sprint →
  • Q01
    What is Fivetran?

    Fivetran is a managed ELT tool with more than 900 connectors. It moves data from source systems into the warehouse automatically and, since the Census acquisition, also covers reverse-ETL. Pipelines are managed, not maintained by hand.

  • Q02
    Fivetran or funnel.io?

    funnel.io focuses on marketing data and is leaner and often cheaper there. Fivetran is the broad end-to-end tool across all data sources, not just marketing. Once ops, finance, and product data converge, Fivetran plays to its breadth.

  • Q03
    What does the Census acquisition mean?

    With the Census acquisition in May 2025, Fivetran covers not only ingestion but also activation. Census is now Fivetran Activations there, with a new pricing model. That makes Fivetran an end-to-end data-movement tool.

  • Q04
    Can Fivetran be used GDPR-compliantly?

    Fivetran offers EU data processing and a data-processing agreement. As always, compliance comes from the setup, not the tool. We review which fields run through the pipeline and document the data flows.

  • Q05
    What does Fivetran cost?

    Fivetran bills on Monthly Active Rows, which can become noticeable at high volume. That's exactly why we clarify upfront whether the broad portfolio justifies the premium over a focused tool. The concrete case decides, not the brand.

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