KNIME Analytics Platform

About

KNIME Analytics Platform lets you build workflows for ETL, data analytics, predictive AI, and data-aware agent building. A workflow is made of nodes, and each node performs a discrete action on data, such as access, read, transform, merge, split, learn, predict, write, or visualize. You connect nodes to create a workflow, which depicts sequential steps performed on data from left to right. You decide when to run it: node by node, in segments, or all at once, and you can re-run it at any time.

Workflows can handle a wide range of data work, from cleaning and filtering customer data for a specific region, to comparing budget vs. actual spend, to using a decision tree to understand churn. The text also mentions geospatial analysis, image analysis, deep learning, and generative AI. The platform is described as intuitive, so users can start with any level of data science experience and build their skills over time.

The platform connects to any data source and AI model, with more than 300 connectors. Examples named on the site include Snowflake, Google BigQuery, Amazon S3, and Salesforce for data, and OpenAI, Anthropic Claude, Google Gemini, and Ollama for AI models.