Features

Your data, one import away.

Data teams shouldn’t have to export a CSV to get started. BARRY hands your datasets straight to Python.

The distance between data landing and being able to work with it is where a lot of time disappears – usually into an export, a download and a file that is out of date by the afternoon. BARRY closes that gap. Every dataset the platform manages is reachable from Python directly: install the wheel, point it at the dataset by name, and you have a dataframe in pandas or Polars. It works the same way in a Jupyter notebook, in Databricks, in Microsoft Fabric or on a laptop, and access follows the same identity and permissions as the rest of the platform, so nothing has to be loosened to make analysis convenient.

✓Load any BARRY dataset into pandas or Polars in a couple of lines
✓Ready-to-run loader code and notebooks generated for you
✓Works in Jupyter, Databricks, Microsoft Fabric or locally
✓Same identity and permissions as the rest of the platform
✓No CSV exports, no copy of a copy of a copy

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Notebook with BARRY data

A Jupyter/Databricks notebook: a few lines of BARRY loader code above a rendered dataframe.

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Two lines

Import the wheel, name the dataset, get a dataframe.

Generated for you

The VS Code extension writes the loader and the notebook.

Still governed

Access follows the same rules as everything else.

Built on the BARRY Python wheel

The integration is a proper Python package — install it, authenticate, and work with your data like any other library.

Ready to unlock your data?

See how BARRY brings your on-premises data to the cloud — safely, and on your terms.