- Data sources: Databricks can read data from and write data to a variety of data formats such as CSV, Delta Lake, JSON, Parquet, XML, and other formats, as well as data storage providers such as Amazon S3, Azure Data Lake Storage, Google BigQuery and Cloud Storage, Snowflake, and other providers.
- Developer tools: Databricks supports various developer tools such as DataGrip, IntelliJ, PyCharm, Visual Studio Code, and others, that allow you to work with data through Databricks clusters by writing code.
- Partner solutions: Databricks has validated integrations with various third-party products such as Power BI, Tableau, and others, that allow you to work with data through Databricks clusters, in many cases with low-code and no-code experiences. These solutions enable common scenarios such as business intelligence (BI).
See also Repos for Git integration.
This guide covers Databricks partner solutions: