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Fivetran

Automated data integration platform with 500+ pre-built connectors for reliable ELT pipelines to data warehouses.

Founded 2012 Oakland, CA 1001-5000 employees Series D

Fivetran Pros & Cons

Key strengths and limitations to consider

Strengths

  • 300+ pre-built connectors maintained by Fivetran
  • Automatic schema drift handling
  • Incremental sync reduces data transfer costs
  • Near-zero maintenance after setup
  • SOC 2 Type II and HIPAA compliant

Limitations

  • Usage-based pricing can be expensive at scale
  • Limited transformation capabilities (ELT focus)
  • Some connectors have sync frequency limits
  • Custom connector development is complex

Ideal For

Who benefits most from Fivetran

Quick Analysis

Fivetran is the leading automated ELT platform, ideal for data teams who want reliable, maintenance-free data pipelines. Best for organizations with multiple SaaS sources that need consistent data in their warehouse without building custom integrations.

1

Data teams building modern data stack

2

Companies consolidating data to Snowflake/BigQuery/Databricks

3

Organizations needing reliable SaaS data replication

4

Teams replacing custom ETL pipelines

5

Analytics-driven companies standardizing data infrastructure

Usage-Based

Key Features

  • 300+ pre-built connectors
  • Automatic schema drift handling
  • Incremental data sync
  • Log-based CDC support
  • Built-in transformation models
  • SOC 2 and HIPAA compliance
  • Column-level hashing for PII

Popular Integrations

Fivetran works seamlessly with these tools:

Snowflake data warehouse
BigQuery for analytics
Databricks lakehouse
dbt for transformations
Looker/Tableau for visualization

Automated data integration platform that replicates data from 300+ sources to cloud data warehouses. Fivetran handles schema changes, incremental updates, and maintains data pipelines with minimal configuration.

Add Fivetran to Your Stack

Use our visual stack builder to see how Fivetran fits with your other tools. Plan data flows, identify gaps, and share with your team.

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