Supported nodes and known limitations

Node support

Most of the nodes available in Knime Analytics Platform desktop are also available in the browser editor and included in the default execution environment. However, nodes from specific extensions are not available yet, or are available with limitations.

Extensions in the default environment

All the extensions in the following list are available in the default execution environment, used for editing workflows in the browser, running them, and deploying them.

Extensions in the default environment

• KNIME Active Learning
• KNIME AI Assistant (Labs)
• KNIME AI Extension
• KNIME Amazon Athena Connector
• KNIME Amazon Cloud Connectors
• KNIME Amazon DynamoDB Nodes
• KNIME Amazon Redshift Connector And Tools
• KNIME Autoregressive integrated moving average (ARIMA)
• KNIME Azure Cloud Connectors
• KNIME Base Chemistry Types & Nodes
• KNIME Basic File System Connectors
• KNIME Big Data Connectors
• KNIME BigQuery
• KNIME Box File Handling Extension
• KNIME Chemistry Add-Ons
• KNIME Chromium Embedded Framework (CEF) Browser
• KNIME Column Expressions (legacy)
• KNIME Columnar Table Backend
• KNIME Conda Integration
• KNIME Connectors for Common Databases
• KNIME Data Generation
• KNIME Database
• KNIME Databricks Integration
• KNIME Deep Learning - Keras Integration
• KNIME Deep Learning - ONNX Integration
• KNIME Deep Learning - TensorFlow 2 Integration
• KNIME Deep Learning - TensorFlow Integration
• KNIME Distance Matrix
• KNIME Email Processing
• KNIME Ensemble Learning Wrappers
• KNIME Excel Support
• KNIME Expressions
• KNIME Extension for Apache Kafka (Preview)
• KNIME Extension for Apache Spark
• KNIME Extension for Big Data File Formats
• KNIME Extension for Local Big Data Environments
• KNIME External Tool Support
• KNIME External Tool Support (Labs)
• KNIME Giskard Extension
• KNIME Git Nodes
• KNIME Google Cloud Storage Connection
• KNIME Google Connectors
• KNIME H2O Machine Learning Integration
• KNIME H2O Machine Learning Integration - MOJO Extension
• KNIME H2O Snowflake Integration
• KNIME Hub Additional Connectivity
• KNIME Indexing and Searching
• KNIME Integrated Deployment
• KNIME Interactive R Statistics Integration
• KNIME Itemset Mining
• KNIME JavaScript Views
• KNIME JavaScript Views (Labs)
• KNIME Javasnippet
• KNIME JDBC Driver For Oracle Database
• KNIME JSON-Processing
• KNIME Machine Learning Interpretability Extension
• KNIME Math Expression (JEP)
• KNIME MDF Integration
• KNIME Microsoft JDBC Driver For SQL Server
• KNIME Modern UI
• KNIME MongoDB Integration
• KNIME Neighborgram & ParUni
• KNIME Network Mining
• KNIME Network Mining distance matrix support
• KNIME Nodes for Google Ads (Labs)
• KNIME Nodes for Scikit-Learn (sklearn) Algorithms
• KNIME Nodes for Wide Data (many columns)
• KNIME Office 365 Connectors
• KNIME Open Street Map Integration
• KNIME Optimization extension
• KNIME Parallel Chunk Loop Nodes
• KNIME Plotly
• KNIME PMML Preprocessing Applier Nodes
• KNIME Power BI Integration
• KNIME Presidio Extension
• KNIME Python Integration
• KNIME Quick Forms
• KNIME Remote Workflow Editor for Executor
• KNIME Report Designer (BIRT)
• KNIME Reporting
• KNIME REST Client Extension
• KNIME Salesforce Integration
• KNIME SAP Integration based on Theobald Xtract Universal
• KNIME SAS7BDAT Reader
• KNIME Semantic Web
• KNIME ServerSpace
• KNIME SharePoint List
• KNIME Snowflake Integration
• KNIME Statistics Nodes
• KNIME Statistics Nodes (Labs)
• KNIME Streaming Execution (Beta)
• KNIME Tableau Integration
• KNIME Textprocessing
• KNIME Timeseries (Labs)
• KNIME Timeseries nodes
• KNIME Vertica Driver
• KNIME Views
• KNIME Weak Supervision
• KNIME Webanalytics
• KNIME XGBoost Integration
• KNIME XML-Processing

If an extension you need isn't in the list, you have two options: set up sovereign execution, or contact your Knime account manager to request it.

Known limitations

Workflow archives (.knar)

You can't upload workflow archives (.knar files) yet. This includes archives you download from Knime Community Hub.

Instead, use one of the following options:

• Upload single workflows as .knwf files.
• Use Import from local Knime Analytics Platform. This option only works on an empty space, and it imports files from your local workspace folder, not .knar archives.