Fivetran is a commercial, fully managed data movement platform with maintained connectors, automated schema handling, and consumption-based pricing.
There is nothing to deploy: Fivetran runs the pipelines, with hybrid deployment for data that must stay in your network. Syncs are scheduled in the platform from one minute to 24 hours, configured in the UI or through the REST API and Terraform provider. Transformations are Quickstart models or dbt Core runs after load.
How Fivetran answers the questions Batch ELT turns on.
| How it works | |
| Authoring model | Managed UI; REST API and Terraform provider for code |
| Incremental sync | Log-based CDC on databases; incremental everywhere else |
| Sync frequency | 1 minute to 24 hours; 1-minute needs Enterprise or above |
| Schema drift | Allow all, allow columns or block all; migrations are automatic |
| Running it | |
| Scheduling | Built in: sync schedules and transformation runs in the platform |
| Connections | |
| Source coverage | SaaS APIs, databases, files and events, all vendor-maintained |
| Destinations | Warehouses; managed lake in Iceberg and Delta on S3, ADLS or OneLake |
| Custom connectors | Connector SDK: Python running in Fivetran's cloud |
| Transformations | Quickstart data models and dbt Core; not on the managed lake |
| Cost | |
| Billing unit | Monthly active rows: inserts and updates, excluding initial syncs |
vs Fivetran: Source-available · Self-hosted · Managed · Hybrid · Operational complexity: High · Kotlin, Java, Python
vs Fivetran: Open source (permissive) · Self-hosted · Managed · Python
vs Fivetran: Source-available · Managed · Self-hosted · Hybrid · Batch · Streaming · Rust