> ## Documentation Index
> Fetch the complete documentation index at: https://docs.domino.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Domino Data API

The [Python library](https://pypi.org/project/dominodatalab-data/) and [R library](https://github.com/dominodatalab/r-domino-data) provides access to file-based data and SQL-based tabular data. The results are available as dataframe abstractions for popular libraries. You can query connectors interactively, and you don’t have to restart a workload to install drivers.

## Compatibility

This Domino release is compatible with these versions of the Domino Data API:

* Python: `dominodatalab-data>=6.7.4`

* R: `dominodatalab/DominoDataR>=v0.2.3`

## Supported data access methods

* Snowflake

* AWS Redshift

* S3

* Generic-S3

* MySQL

* PostgreSQL

* MSSQL

* Oracle DB

* GCS

* ADLS

* GCP BigQuery

* Databricks

* Azure Blob Storage

For the full list of supported data access methods, see the [Data Source Connectors](/cloud/platform-capabilities/core-concepts/data/data-source-connectors/index) page.

## Additional documentation

* Find out how to [install the Data API](/cloud/reference/api/data_api/install_the_data_api) so that you can use it with the correct Domino environment.

* Learn about the [authentication methods](/cloud/reference/api/data_api/authentication) available when using the Domino Data API.

* Learn how to create and manage connection properties to a supported external data service with Domino’s [Data Source operations](/cloud/reference/api/data_api/datasource_usecases).

* Learn how you can [use Domino TrainingSets](/cloud/reference/api/data_api/trainingsets_usecases) to persist dataframes for model training and other analysis.