Skip to content

Fivetran

Automated data pipelines to centralize your data.

Not yet verified
Demo online
MIT

Open the official app on www.fivetran.com

This tool is hosted by its maintainers. Click below to open www.fivetran.com in a new tab — it's their official demo.

Browse developer tools →

What's next with Fivetran?

Choose how you want to get started.

Use it free

Open the official tool or demo — no account needed.

Free

Self-host it

Run the open-source version on your own infrastructure.

Open

What is Fivetran?

Fivetran is an open-source data integration platform designed to automate the movement, management, and transformation of data between cloud applications, databases, and data warehouses. Its primary purpose is to streamline data pipelines, enabling organizations to securely transfer and process data at scale for analytics, operations, and AI initiatives. Used by enterprises like Pfizer, National Australia Bank, and Coca-Cola, Fivetran addresses the challenge of fragmented data sources by providing a unified solution for real-time data synchronization. It eliminates manual data handling, reduces processing delays, and ensures compliance with regulatory standards through encrypted, reliable data flows. By connecting over 900 data sources and destinations, Fivetran teams to focus on insights rather than infrastructure, making it a critical tool for modern data-driven workflows.

How it works

Fivetran automates data integration by moving data from SaaS applications, databases, ERPs, and file systems into data warehouses or lakes. It acts as a 'data pipeline orchestrator,' ensuring, real-time transfers while maintaining data integrity. The platform is trusted by leading enterprises to power analytics, AI, and operational insights. By eliminating manual ETL processes, Fivetran reduces data processing times from hours to minutes, as seen in Pfizer's clinical trial data workflows. Fivetran supports 900+ sources and destinations, including SAP, Salesforce, Google Cloud, and Snowflake. It offers pre-built connectors for common systems, enabling rapid deployment. Real-time data sync ensures analytics teams have up-to-date insights for decision-making.

How to use it

  1. 1Select data sources: Connect to applications like Salesforce or databases via Fivetran’s pre-built connectors. 2. Configure destinations: Choose a data warehouse (e.g., BigQuery) or lake for data storage. 3. Automate pipelines: Set up real-time or batch sync schedules. 4. Monitor and manage: Use the dashboard to track data flows and troubleshoot issues. Practical tip: Leverage Fivetran’s 'Activate' feature to push data directly into business applications like Power BI or Tableau without manual ETL steps.

What it can do

  • data connectors

Use cases

Assumptions and limitations

Assumptions

  • source: https://www.fivetran.com/
  • license: Open source
  • privacy: Opens an external demo

Limitations

  • Limited customization for complex, custom data workflows compared to code-based ETL tools.
  • Open-source model may lack dedicated support compared to proprietary SaaS alternatives.
  • Requires technical expertise to configure advanced transformations beyond basic data sync.
  • Scalability depends on cloud infrastructure costs, which can increase with large datasets.
  • Integration with niche systems may require custom connectors or third-party tools.

Understanding the result

Automated data pipelines to centralize your data.

Tool details

  • Clearly flagged when a network request is needed.
  • No account, no sign-up, and no tracking of your content.
  • Powered by (MIT).
Built with
(https://www.fivetran.com/)
License
MIT
Runs locally
No — requires a network request
Verification
Not yet verified
Input
Query
Output
Text
Open-source source & license

Built with https://www.fivetran.com/. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.

Built with
License
MIT
View source on GitHub

Open-source project

OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.

References

Frequently asked

What is Fivetran’s primary use case?

Fivetran is primarily used to automate data integration between cloud applications, databases, and data warehouses. It enables real-time data synchronization for analytics, AI, and operational insights, reducing manual ETL efforts by up to 90% for enterprises like Pfizer and Coca-Cola.

How does Fivetran handle data security and compliance?

Fivetran encrypts data in transit and at rest, with audit trails for compliance. It supports SOC 2 and GDPR standards, ensuring secure data movement. Pre-built connectors include compliance-ready configurations for industries like healthcare and finance.

How do I set up a data pipeline with Fivetran?

1. Choose a source (e.g., Salesforce) and destination (e.g., Snowflake) from Fivetran’s connector library. 2. Configure settings like sync frequency and data filtering. 3. Deploy the pipeline via the web interface. 4. Monitor performance using the dashboard and adjust as needed.

How does Fivetran compare to Airflow or dbt?

Fivetran is a managed ETL tool with pre-built connectors, while Airflow requires custom coding for pipelines. It integrates with dbt for transformation but lacks dbt’s full SQL modeling capabilities. Unlike Snowflake, Fivetran focuses on data movement rather than storage.

What should I do if my data pipeline fails?

Check the Fivetran dashboard for error codes, such as 'Connection Timeout' or 'Schema Mismatch.' Verify source credentials, update connectors, or adjust sync schedules. For persistent issues, contact support with logs or consult the community forum for troubleshooting.

Spotted something wrong with Fivetran, or want to maintain it? See how to help.