Troubleshooting
Solutions to common problems.
KNIME needs too much memory
Analyzing massive datasets with KNOT can require more than 16 GB of RAM. In the upcoming releases, we plan to adopt strategies to further optimize memory usage.
In the meantime, running one single node at a time can help reduce memory usage. Splitting the original dataset in slices (e.g.: taking one week of data at a time) and processing each slice separately can also help.