Managed data pipelines: prebuilt connectors that copy data from apps and databases into your warehouse and adapt to schema changes.

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About Fivetran

Fivetran moves data from business applications, databases and files into a central data warehouse or data lake. A data team picks a source from a catalogue of prebuilt connectors, enters credentials, chooses a destination such as Snowflake, BigQuery, Databricks or Redshift, and the service then loads the data and keeps it in sync on a schedule. It handles incremental updates, API changes and schema changes at the source, so engineers do not have to write or maintain extraction scripts. Transformations can be run after loading, notably through an integration with dbt. Pricing is based on the volume of rows that change each month. It is used by data engineers and analytics teams.

Listed inData IntegrationasETL Platforms

How teams use Fivetran

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Features

Automatically extract and load data from any source to any destination
Orchestrate data transformations seamlessly
Integrate with other tools and systems to optimize workflows
Move warehouse data to business tools for operational use
Replicate data from SaaS, databases, SAP, and files
Provide event streaming support for real-time analytics
Build custom connectors using Connector SDK
Deploy in a secure environment with hybrid deployment
About
HeadquartersOakland, USA
Employees1 000 – 10 000
fivetran.com

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