The number of files and amount of data you can process is only limited by the physical resources of your machine. This is due to KNIME’s sophisticated memory management and caching strategies. Whether you have to process a single Excel file or thousands, your analysis flow will look the same.

KNIME supports a vast number of different data formats. From structured data (simple text CSV files, Excel tables, JSON, or XML files) to unstructured data (documents, images, or audio files), there are dedicated reader and writer nodes plus matching processing nodes that will allow you to work efficiently with your data. KNIME also provides integrations for highly specialized file formats such as sensor, biological, or chemical data.

Note: If your machine isn’t powerful enough you can use the KNIME Database Integration to push the data processing down into the database. Alternatively, the KNIME Big Data Extension can orchestrate an entire big data system from within your KNIME workflow.

Cleaning and preparing data for analysis or visualization is often the most time-consuming task. KNIME has hundreds of data processing nodes (a basic operation in a workflow) to visually create self-documenting, reproducible, and shareable data processing workflows. Easily add, exchange, or remove nodes from the workflow and inspect the intermediate results at any stage for fast prototyping and sanity checking.

Once the workflow is in place you can deploy it to KNIME Server to share it with your colleagues or to put it into production and have it automatically executed - either on a regular schedule or via external triggers such as a REST call or via the KNIME WebPortal.