Fivetran

Fivetran

Managed data movement that syncs operational sources with warehouses and data lakes.

freemium
Last Updated 8/28/2026

Fivetran and dbt Labs have merged; Fivetran remains the canonical product name for this profile.

About Fivetran

Fivetran is a managed data movement platform for centralizing operational data in warehouses and data lakes. Teams configure connectors and destinations, while the service handles recurring syncs, schema changes, monitoring, orchestration, and failure recovery. It supports analytics pipelines, managed data lake delivery in open table formats, reverse ETL through Activations, custom connectors through a Python Connector SDK, and programmatic administration through a REST API. Security controls include encryption in transit and at rest, customer-managed keys, column blocking and hashing, and private connectivity options such as SSH tunnels, VPN tunnels, private networking, proxy, and hybrid deployment. Pricing is usage based: connections follow separate cost curves tied to monthly active rows, so spend depends on connected sources and changing data volume. A Free plan is available, and new users can also evaluate the service through a 14-day trial. Fivetran suits teams that want to hand off routine pipeline maintenance. Buyers still need to model MAR growth, verify connector and destination compatibility, and choose the security and deployment options their organization requires.

Best for

Data teams that want managed connectors and less recurring pipeline maintenance.
Organizations centralizing operational data in a warehouse or managed data lake.
Developers who need a Python connector SDK or REST API for custom integrations.

Best use cases

Consolidating source data for analytics and reporting workflows.

Running managed reverse ETL pipelines with Fivetran Activations.

Supporting governed data movement with encryption and private connectivity options.

Compare before choosing

Compare projected monthly active rows because changing source activity affects usage cost.

Check that required sources, destinations, and deployment methods are compatible.

Weigh managed schema handling and failure recovery against operating pipelines internally.

Features

Centralize analytics data

Move operational data into a warehouse or managed data lake for consolidated analytics.

Operate reverse ETL pipelines

Send modeled data into business applications with managed Fivetran Activations.

Build custom data connectors

Create Python connectors while Fivetran operates orchestration and recovery.

Pros

  • Managed syncs, schema handling, monitoring, and recovery reduce recurring pipeline operations work.
  • Connector SDK, REST API, and Activations support custom sources, automation, and reverse ETL workflows.
  • Encryption, column controls, customer-managed keys, and private connectivity support governed deployments.

Cons

  • Monthly active row pricing can vary as source activity grows, making cost forecasting important.
  • Teams must verify that every required source, destination, and deployment method is supported.
  • Advanced security and deployment requirements may add configuration and procurement work.

Pricing Plans

Free

FreeUsage limits apply
  • Access to the Fivetran Free plan
  • Connection usage follows the applicable cost curve
  • Option to begin with a 14-day trial

* Pricing information is for reference only. Please refer to the latest announcement on Fivetran's official website.

FAQ

Sign up for a 14-day trial and connect a source and destination, or request a personalized demonstration.
Pricing is volume based and uses monthly active rows, with a separate usage curve for each connection.
Yes. The Python Connector SDK supports custom connectors, and the REST API supports programmatic integration.

Tool Information

DeveloperFivetran
Release Date7/20/2026
Pricingfreemium