- 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, 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 and Databricks SQL endpoints by writing code.
- Partner solutions: Databricks has validated integrations with various third-party solutions such as Fivetran, Power BI, Tableau, and others, that allow you to work with data through Databricks clusters and SQL endpoints, in many cases with low-code and no-code experiences. These solutions enable common scenarios such as data ingestion, data preparation and transformation, business intelligence (BI), and machine learning. Databricks also provides Partner Connect, a user interface that allows some of these validated solutions to integrate faster and easier with your Databricks clusters and SQL endpoints.
This guide covers Databricks partner solutions: