In your daily work, your data rarely sits in one place. You might have spreadsheets on your computer, databases on company servers, and files stored in cloud platforms. KNIME lets you access all these sources from one place. You can connect, read, and write data visually, without switching tools or writing code.
Watch this webinar to see live examples of how to connect to different data sources in KNIME.
Access and combine all your data
KNIME uses file system connections to manage data access. These appear as blue ports in workflows and serve as a standard way to connect to different file systems. You can use the same nodes to work with files on your local drive, the KNIME Hub, or cloud storage.
You can connect to and work with data in a variety of ways:
- Databases – Use the KNIME Database Extension to connect to systems such as Snowflake, PostgreSQL, SQLite, or Databricks. You can query tables, filter data, and perform aggregations directly in the database to reduce data movement and improve performance.
- Cloud technologies – KNIME integrates with platforms like Microsoft Fabric, Amazon S3, and Databricks.. Each connector just needs a few parameters (for example, an access token or account ID). Once connected, you can reuse the same workflow logic across different systems.
- Mix and match – Combine data from multiple sources in a single workflow. For instance, you can read data from Snowflake, blend it with files from Amazon S3, and write the results to Microsoft Fabric, all within one visual process with KNIME