The item generates authentication tokens for accessing Google services. Learn more
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KNIME for Google Users
Unlock the full potential of your Google footprint with KNIME. From basic storage and file management, scalable cloud databases, to advertisement and web analytics products, the KNIME Google extensions make it very easy to incorporate the power of Google by just adding a few nodes. Keep in mind that executing KNIME workflows connected to Google services may incur Google costs.
KNIME Google Cloud Integration Guide
This guide illustrates how to connect to Google Cloud and how to use the Google extensions.
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Getting Started with Google Workflows
Utilizing Google product connections within KNIME will always start with user authentication. Once you have authenticated, you can use that output to power the Google connectors.
Connecting to Data Stored in Google
KNIME supports importing different types of data from multiple different Google products. Depending on the Google product, you can incorporate KNIME frameworks for additional processing.
File Storage with KNIME File Handling
With the KNIME File Handling Framework, you can incorporate files stored in both Google Drive and Google Cloud Storage in your workflows.
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Workflow
Read Data from Google Sheets and Google Drive
This workflow demonstrates how to read data from Google Sheets and data files (Text, Excel and CSV) from Google Drive.
knime > Beginners Space > 01_Read > 03_Read_Data_from_Google_Drive
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Processes NYC taxi dataset incrementally, preprocessing and publishing event data as separate Parquet files based on week and yea…
knime > Examples > 01_Data_Access > 01_Common_Type_Files > 12_Incremental_processing_Parquet_file
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Relational Databases with KNIME’s Database Framework
With KNIME’s Database Framework, you can incorporate database tables stored in Google into your KNIME Workflows. This includes Google database services like BigQuery and Cloud SQL
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Blends Austin Bike-sharing data with weather data from Austin and visualizes it on Google BigQuery.
knime > Examples > 10_Big_Data > 01_Big_Data_Connectors > 05_Austin bike sharing with Google BigQuery
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Connecting to Google Analytics
The KNIME Google Connectors extension provides nodes to connect and interact with Google Analytics. Google Analytics is a set of services provided by Google to investigate traffic and activity on a website of your property.
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The workflow showcases Google Analytics 4 capabilities in KNIME for efficient data extraction and filtering.
knime > Examples > 01_Data_Access > 05_REST_Web_Services > Google Analytics 4 Filter Dimensions
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Generates a table from Google Analytics with appended Geo Target information.
knime > Examples > 01_Data_Access > 05_REST_Web_Services > Google Analytics 4 Blends Local Files
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Extracts data from Google Analytics 4 using loops for sampling avoidance and data retrieval beyond row limits.
knime > Examples > 01_Data_Access > 05_REST_Web_Services > Google Analytics 4 and Loops
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Connecting to Google Ads
Learn how to connect to Google Ads and gain customized insights on web advertisements.
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Extension
KNIME Nodes for Google Ads (Labs)
This feature contains the Google Ads (Labs) nodes.
KNIME AG, Zurich, Switzerland
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Generates Google Ads report data in Google Sheets for further analysis.
knime > Examples > 01_Data_Access > 05_REST_Web_Services > Google Ads Report
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Conduct keyword research in KNIME using the Google Ads Extension.
knime > Examples > 01_Data_Access > 05_REST_Web_Services > Keyword Research with Google Ads Nodes
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Generates Google Ads Headlines using Generative AI.
knime > AI Extension Example Workflows > 5) Use Cases > Google Ads Assets Creation with Generative AI
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Generates custom Google Ads queries and displays results in a table view.
knime > Examples > 01_Data_Access > 05_REST_Web_Services > Google Ads Query Explorer
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Leveraging Google Dataproc with KNIME’s Apache Spark Framework
With the KNIME Extension for Apache Spark, KNIME user’s can leverage data from spark clusters created using Google Dataproc into their workflows.
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Enables connection to Google Cloud Services like BigQuery, Dataproc, and Cloud Storage within KNIME Analytics Platform.
knime > Examples > 10_Big_Data > 01_Big_Data_Connectors > 04_GoogleCloudExample
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Connecting to Google Cloud in KNIME Python Nodes
Learn how to connect to Google Cloud services using Python in KNIME
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Provides an overview of Python script nodes and examples for the KNIME Python integration.
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KNIME on Google Cloud Marketplace
KNIME provides Google Cloud Marketplace offerings for customer-managed instances of KNIME Business Hub. If you are interested in deployment of KNIME Business Hub via the Google Cloud Marketplace, refer to the following links and documentation. If you need assistance on evaluation of this deployment, please contact KNIME Customer Care using the link below.
Additional Material
A collection of additional resources and materials