FILE REPLICATION

Replicate data from all of your file sources

Easily centralize structured, semi-structured, and unstructured data from files for analytics and AI.

a box of files
Trusted by thousands of data-driven companies
How it works

Configure Fivetran to work for you

Load data with our standard file connector or “magic folder” connector while automatically inferring accurate data types when writing into your destination.

 

Headerless CSV support

Support vendors’ flat files with automated generic column names generation

Header / footer skipping options

Prevent metadata header and footer lines from being included into your loaded schema.

Merge and append options

Choose how new data is brought in.

File pattern / folder search

Filter through files that you’re interested in loading with ease.

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File ingestion that is fast, reliable and easy to scale

Automatically centralize files of every major format

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    Flat files such as CSVs or TSVs

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    Semi-structured data such as JSON, Avro, or Parquet

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    Unstructured files with accompanying metadata

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    Excel formats (and multiple tabs!)

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We easily compress all file types

Our connectors are built for varied file compressions and configurations for successful replication into your target destination.

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Provide context for your insights

Fivetran allows you to create landing zones in your destination for file data to provide context from internal teams (e.g., finance) or external teams (e.g., vendors) to your business systems.

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full-featured platform

Get even more out of Fivetran's automated
data movement platform

Infrastructure modernization

Whether it's migrating to the cloud or modernizing legacy systems, learn how Fivetran can accelerate your digital transformation.

Modernize your data stack

Database replication

Fivetran allows you to effortlessly add operational databases to analytics projects and see the full picture.

Start replicating data

Ready to start replicating your files?

Join thousands of companies using Fivetran to centralize and transform their data.