KNIME Business Hub is a customer-managed Hub instance. Once you have a license for it and proceed with installation you will have access to Hub resources and will be able to customize specific features, as well as give access to these resources to your employees, organize them into Teams and give them the ability to manage specific resources.

This guide provides information on how to administrate a KNIME Business Hub instance.

To install a KNIME Business Hub please refer to the KNIME Business Hub Installation Guide.

A user guide is also available here, which contains instructions on how to perform team administration tasks. Team admins are designated by the global Hub admin, and have control over their team’s allocated resources, can add users to their team, create execution contexts and have an overview of the team’s deployments. In this way the Hub administration tasks are distributed and reallocated to those users that have a better overview of their own team necessities.

Create and manage teams

A team is a group of users on KNIME Hub that work together on shared projects. Specific Hub resources can be owned by a team (e.g. spaces and the contained workflows, files, or components) so that the team members will have access to these resources.

Sign in to the KNIME Business Hub instance with the admin user name by visiting the KNIME Business Hub URL.

Then click your profile picture on the right upper corner of the page and select Administration to go to the KNIME Business Hub Administration page. Click Teams in the menu on the left. Here you will be able to see an overview of the existing teams and you will be able to manage them.

Create a team

To create a new team click the yellow plus button on the right.

img create new team
Figure 1. Create a new team in the KNIME Business Hub Administration page

After you create a new team you will be redirected to the new team’s page. Here you can change the name of the team. To do so click the name of the team under the team logo on the left side of the page. The name of the team can also be changed at any point in time by the team administrator.

From the team’s page you can:

  • Add members to the team

  • Change their role to, for example, promote a user to team admininistrator role

Here you might for example want to assign the team to a team administrator. To do so click Manage team and enter the user name of the user you want to assign as a team administrator for the current team. Then click on the role and select Member and Admin. At the same time you might want to delete the global admin user name from the team members list. To do so click the bin icon corresponding to that user. Click Save changes to finalize the setting.

Allocate resources to a team

To allocate resources to a team navigate to the KNIME Business Hub Administrator page and select Teams from the menu on the left.

Here you can see an overview of the teams available, their allocated resourced, and of their current usage. Click the three dots on the right upper corner of the card corresponding to the team you want to allocate resources to.

img menu manage resources
Figure 2. Manage resources of a team

Select Manage resources from the menu. A panel on the right will open where you can select the resources you want to allocate.

img allocate resources
Figure 3. Allocate resources to a team

Here you can change:

  • The maximum number of members allowed in that team

  • The maximum number of execution vCore tokens allowed for that team

Click Save changes when you have set up the resources for the current team.

Manage team members

From the KNIME Business Hub Administration page you can also manage the team members.

Click the three dots on the right upper corner of the card corresponding to the team. From the menu that opens select Manage members. In the side panel that opens you can add members to a team, or change the team members role.

Delete a team

From the KNIME Business Hub Administration page you can also delete a team.

Click the three dots on the right upper corner of the card corresponding to the team. From the menu that opens select Delete. Be aware that this operation will delete also all the team resources, data and deployments.

Users management

To see a list of all the users that have access to your KNIME Business Hub instance you can go to the KNIME Business Hub Administration page and select Users from the menu on the left.

img list users admin
Figure 4. Manage users on KNIME Business Hub Administration page

Here you can filter the users based on their team, the type of users and their username and name. To do so click the funnel icon in the users list. You can also search the users by using the magnifier icon and typing the keyword in the field that appears.

Delete a user

You can delete a user from the KNIME Business Hub Administration page. Click the three dots and select Delete. You will need to confirm the user deletion in the window that opens by clicking Delete user. Be aware that this action will also delete all data from the deleted user and it will not be possible to restore the user.

Note that this user will continue to exist in Keycloak itself and you may want to delete it from there as well.

Make a user Global Hub Admin

Users are managed in the backend via the Keycloak instance embedded in KNIME Business Hub. Therefore, the operation of promoting a registered user to the role of Global Hub Admin is done in Keycloak.

To do so follow these steps:

  1. First you will need to access the keycloak admin console. To do so you will need the credentials that are stored in a kubernetes secret called credential-knime-keycloak in the knime namespace. To get the required credentials, you need to access the instance the Business Hub is running on and run the following command:

    kubectl -n knime get secret credential-knime-keycloak -o yaml

    This will return a file that contains the ADMIN_PASSWORD and the ADMIN_USERNAME. Please notice that they are both base64 encrypted. In order to get the decrypted username and password, you can run the following commands:

    echo <ADMIN_PASSWORD> | base64 -d
    echo <ADMIN_USERNAME> | base64 -d
  2. Then go to http://auth.<base-url>/auth/ and login.

  3. In the top left corner click the dropdown and select the "Knime" realm, if you are not there already.

    img kc realm select
    Figure 5. Select the "Knime" realm
  4. Navigate to the Users menu and search for the user by name or email:

    img kc usersmenu
    Figure 6. The Keycloak users menu

    In order for a user to appear in this list, it is necessary that they have logged into your KNIME Business Hub installation at least once.

  5. Click the user and go to the Groups tab. Click Join Group and either expand the hub group by clicking it, or search for "admin". Select the admin group and click Join:

    img kc done
    Figure 7. Making a user a Global Hub Admin in Keycloak. If you are searching for the group then the group might show up under its full path "/hub/admin"
  6. Done. The user now has the role of Global Hub Admin, and can access the admin pages from within the Hub application to e.g., create teams or delete users.

Please notice that right now there are some operations that can be performed only by the global admin user that was created contextually to the KNIME Business Hub instance installation. Therefore, it is recommended to not delete the corresponding global admin user even when more users have been promoted to global admin users.

Docker executor images

In order to create execution contexts for their teams, team admins will need to reference the Docker image of the KNIME Executor that they want to use.

Public Docker executor images are made available by KNIME which correspond to the full builds of KNIME Executor versions 4.7.x.

The currently available executor images have the following docker image name:





However you might want to add specific extensions to the KNIME Executor image that is made available to team admins to create execution contexts.

The following section explains how to do so.

Add extensions to an existing Docker image

In order to install additional extensions and features to the KNIME Executor image, you will need to first create a Dockerfile. The file is named Dockerfile with no file extension. You can use the example Dockerfile below which demonstrates how to extend the base image with a custom set of update sites and features.

# Define the base image

# Define the list of update sites and features
# Optional, the default is the KNIME Analytics Platform update site (first entry in the list below)
# Install a feature from the Community Trusted update site

# Execute extension installation script
RUN ./

The KNIME_UPDATE_SITES environment variable determines the update sites that will be used for installing KNIME Features. It accepts a comma-delimited list of URLs. The KNIME_FEATURES environment variable determines the extensions which will be installed in the KNIME Executor. It accepts a comma-delimited list of feature group identifiers. A corresponding update site must be defined in the KNIME_UPDATE_SITES list for feature groups to be successfully installed. You can get the necessary identifiers by looking at Help → About KNIME → Installation Details → Installed Software in a KNIME instance that has the desired features installed. Take the identifiers from the "Id" column and make sure you do not omit the at the end (see also screenshot on the next page). The base image contains a shell script which lets you easily install additional extensions in another Dockerfile.

Once the Dockerfile has been customized appropriately, you can build a Docker image from it by using the following command:

# Replace <image_name> and <tag_name> with actual values
docker build -t <image_name>:<tag_name> .

Python and Conda in Docker images

When you create an Execution Context on KNIME Business Hub based on a full build you will have KNIME Python bundled available. If you need additional libraries you would need to make them available on the Hub instance.

You can do this in two ways:

  1. Use the Conda Environment Propagation node.

  2. Customize the Executor image used.

To get started with Conda environment propagation, check out KNIME Python Integration Guide. However, any libraries installed using Conda environment propagation will be removed when the executor restarts and installed again next time, so libraries that are used often should be installed as part of the executor Docker image.

In order to do so you need to:

  1. Install Python in the executor Docker image

  2. Declare to the execution context the path to the Python installation folder so that the executor can execute Python nodes

Install Python in the executor Docker image

The first step is the installation of Python and an environment manager for instance miniconda on a Docker image.

To do so, first you need the Docker Project to hold a miniconda installer near the Dockerfile, for example:


You will also need to provide a .yml file that will contain all the modules, packages and Python version that you need to install in order to execute the Python scripting nodes.

The .yml file could look like the following:

name: py3_knime # Name of the created environment
channels: # Repositories to search for packages
  - defaults
  - anaconda
  - conda-forge
dependencies: # List of packages that should be installed
# - <package>=<version> # This is an example of package entry structure
  - python=3.6 # Python
  - scipy=1.1 # Notebook support
  - numpy=1.16.1 # N-dimensional arrays
  - matplotlib=3.0 # Plotting
  - pyarrow=0.11 # Arrow serialization
  - pandas=0.23 # Table data structures

Then you need to pull any available executor Docker image, install miniconda in batch mode on the image and define the environment variable for conda, as in the following example. Also you will need to create your environments, that you specified in the .yml files.

# getting recent knime-full image as a basis

# getting Miniconda and install in batch mode
COPY container/ /home/knime/
RUN bash -b

# adding path to Miniconda bin folder to system PATH variable
ENV PATH="/home/knime/miniconda3/bin:$PATH"

# copy default conda environments into container
COPY --chown=knime envs/ ./temp_envs
RUN conda env create -f ./temp_envs/py3_knime.yml && \
    rm -rf ./temp_envs

When installing conda and creating the environments you will obtain the following paths that will need to be added in the .epf file of the customization profile during the set up of the execution context.

For example based on the above Dockerfile:

<path to conda installation dir>=/home/knime/miniconda3/
<path to default conda environment dir>=<path to conda installation dir>/envs/<name of the env>

Now you can build the new Docker image, for example:

docker build . -f /dockerfiles/Dockerfile -t knime-full:4.7.3-with-python

Finally retag the image to make it useable for your embedded registry on Business Hub:

docker tag knime-full:4.7.3-with-python registry.<hub-url>/knime-full:4.7.3-with-python

Once you have created the Docker image with Python installed create an execution context that uses the newly created Docker image.

Set up the execution context

Now you need to set up and customize the execution context.

In order to declare to the execution context the path to the Python installation you will need to build a dedicated customization profile and apply it to the execution context.

  1. Build the .epf file by following the steps in KNIME Python Integration Guide and exporting the .epf file. To export the .epf file from KNIME Analytics Platform go to File > Export Preferences…​

  2. Open the file and use only the parts related to Python/conda.

The .epf file could look like the following:

/instance/org.knime.conda/condaDirectoryPath=<path to conda installation dir>
/instance/org.knime.python3.scripting.nodes/python2CondaEnvironmentDirectoryPath=<path to default conda environment dir>
/instance/org.knime.python3.scripting.nodes/python3CondaEnvironmentDirectoryPath=<path to default conda environment dir>
Find more details on how to set-up the .epf file in the Executor configuration section of the KNIME Python Integration Guide.

Now follow these steps to customize the execution context:

  1. Build the .zip file containing the customization profile using the .epf file you just created.

  2. Upload the customization profile .zip file to KNIME Business Hub.

  3. Apply the customization profile to the execution context.

Advanced configuration

This section covers some of the configuration settings that are available for your KNIME Business Hub instance.

The following configurations are available in the KOTS Admin Console and can be changed after the installation and first minimal configuration steps are concluded successfully.

Configure networking

In the "Networking" section of the KOTS Admin Console you can:

  • Deploy an external load balancer for traffic ingress: this feature takes effect only if your cloud provider and kubernetes distribution support automatic load balancer provisioning.

  • Enable Transport Layer Security (TLS): the encryptio n protocol that provides communications security is highly recommended especially for KNIME Business Hub instances deployed in a production environment.

  • Enable advanced ingress configuration: you can customize the ingress proxy behavior, for example configuring the read/send/connect timeouts.

img networking

Configure TLS

If you enable the Transport Layer Security (TLS) you need to have a certificate that is valid for all the URLs defined during the installation. We recommend to create a wildcard certificate for <base-url> and *.<base-url>, e.g. and *

Check Enable TLS in the "Networking" section of the KOTS Admin Console.

  • Provide your own certificate: Select Provide your own certificate to be able to upload the certificate files.

    You will need an unencrypted private key file and a certificate file that contains the full certificate chain. You usually can get a certificate from your company’s IT department or Certificate Authority (CA).

    Another possibility, if you have a public domain name, is to use letsencrypt to obtain a certificate.

    Both certificates need to be PEM formatted as requested by the ingress-nginx-controller (see the relevant documentation here).

    img own certificate
  • Select AWS ACM Certificate if, instead, you have deployed an AWS Elastic Load Balancer (ELB). In this case you can use AWS Certificate Manager (ACM) and set the certificate as an annotation directly on the loadbalancer. You can find more information in AWS documentation for ACM here.

    Once you obtained the certificate Amazon Resource Name (ARN) in the form arn:aws:acm:<region>:<account-id>:certificate/<certificate-id>, insert the ARN in the corresponding field as shown in the image below.

    img aws acm certificate

Create a collection

It is possible to create collections on your KNIME Business Hub instance.

KNIME Collections on KNIME Hub allow upskilling users by providing selected workflows, nodes, and links about a specific, common topic.

One example of a collection can be found on KNIME Community Hub here.

This is a feature of KNIME Business Hub - Enterprise edition.

In order to create a new collection page you need to be a Global Admin of your KNIME Business Hub instance.

The creation of a collection is possible via REST API, and a description of the different configurations can be found in your KNIME Business Hub API doc at the following URL:



In order to create a collection the items (i.e. workflows and nodes) that are collected need to be stored and accessible on the same KNIME Business Hub instance where collection is created.

To create the collection you will need then to build a json file with the schema that is available in the API doc in the Collections section, under the POST /collections request description.

The following is an example that would allow you to build a collection, similar to the one available on KNIME Community Hub here.

In the first section you can for example set up a title, a description, a so-called hero, which is the banner image at the top right of the example collection page, and tags:

  "title": "Spreadsheet Automation",
  "description": "On this page you will find everything to get started with spreadsheet automation in KNIME",
  "ownerAccountId": "account:user:<global-admin-user-id>",
  "hero": {
    "title": "New to KNIME?",
    "description": "Get started with <strong>KNIME Analytics Platform</strong> to import all the examples and nodes you need for spreadsheet automation right now!",
    "actionTitle": "Download",
    "actionLink": ""
  "tags": [

Next you can add different sections and subsections, each with a title and a description, choose a layout, and select the itemType such as Space, Component, Workflow, Node, Extension, or Collection. For each of these items you will need to provide the id under which they are registered in your Business Hub installation.

The id for workflows, spaces, components, and collections can be build by taking the last part of their URL, after the ~, and adding a * at the beginning. For example, the following workflow on the KNIME Community Hub has URL so its id would be *1DCip3Jbxp7BWz0f. The id for node and extensions instead needs to be retrieved with a REST call, for example to the search endpoint of your KNIME Business Hub instance.

  "sections": [
      "title": "Workflow examples",
      "description": "Some subtitle text here. Can have <strong>bold format</strong>",
      "iconType": "Workflow",
      "subsections": [
          "title": "How to do basic spreadsheet tasks in KNIME",
          "description": "Some examples on how to do common things",
          "layout": "SingleColumn",
          "numberOfTeaseredItems": 2,
          "items": [
              "title": "Click Here!",
              "itemType": "Link",
              "absoluteUrl": ""
              "id": "*SJW5zSkh1R3T-DB5",
              "itemType": "Space"
              "id": "*vpE_LTbAOn96ZOg9",
              "itemType": "Component"
              "id": "*MvnABULBO35AQcAR",
              "itemType": "Workflow"
              "showDnD": true,
              "id": "*yiAvNQVn0sVwCwYo",
              "itemType": "Node"
              "id": "*bjR3r1yWOznPIEXS",
              "itemType": "Extension"
              "id": "*QY7INTkMW6iDj7uC",
              "itemType": "Collection"

Support Bundles and Troubleshooting

When generating a support bundle, no data leaves the cluster.

If necessary, you can download the support bundle and send it to KNIME for the purpose of troubleshooting. Under extreme circumstances, the KNIME team may forward the support bundle to the Replicated support team for additional help.

When generating a support bundle, a limited amount of information will be automatically redacted (IPv4 addresses, connection strings, etc.). You can configure additional redactions and/or manually redact information prior to sending the bundle. See the Configuring redaction in support bundles section for more details.

KNIME Business Hub is capable of generating support bundles in a standard format, even when the admin console isn’t working. This ensures that users are able to provide all of the necessary information for KNIME to be able to identify the problem and prescribe a solution.

Generating a support bundle (GUI)

In order to help troubleshoot an installation, or to simply inspect the logs of the cluster in a user-friendly format, you will need to generate a support bundle.

Simply open the KNIME Business Hub Admin Console, navigate to the Troubleshoot pane, and click the Generate a support bundle button to generate a support bundle.

img ts 1
Figure 8. Generate a support bundle

All generated support bundles will display in the list above. Click the Download bundle button to download the bundle(s) you want to share with KNIME, and please see the Configuring redaction in support bundles section for information on how to redact confidential/personal information before sending.

Generating a support bundle (CLI)

See Replicated documentation for instructions on how to generate a support bundle via the Replicated CLI.

Configuring redaction in support bundles

When generating a support bundle, a limited amount of information will be automatically redacted (IPv4 addresses, connection strings, etc.) but it is not guaranteed to be a comprehensive set of redactions. You may have additional information in your logs or configuration that you do not wish to share with the KNIME engineering team.

One option is to unzip the generated .zip support bundle and manually review/redact information prior to sending the bundle to KNIME. However, there is a lot of information to review and the redaction of certain information can be automated fairly easily. The ideal option is to configure automated redactions via Redactor resources, which will automatically redact information for all future support bundles.

In order to configure automated redactors, first open the KNIME Business Hub Admin Console. Navigate to the Troubleshoot pane and click Configure Redaction.

img ts 2
Figure 9. Configure Redaction

If you have configured your own custom redactions that you feel would be valuable to other users of KNIME Business Hub, please feel encouraged to share the configuration with KNIME so that it can be considered & potentially added to future releases.

See this link and this link for more information.

Inspecting support bundles

There are quite a number of of files generated in a support bundle. Not necessarily every file is useful for every problem. However, by collecting the same information in the same way each time, KNIME can ensure the best quality support possible for customers.

It is possible to inspect a support bundle entirely in the admin console. See below for an example screenshot.

img ts 3
Figure 10. Inspect a support bundle in the admin console

Here are the most important folders/files and their purposes:

Path Purpose Example (may have properties omitted)


  • Collects the highest-level insights possible for the installation.

  • Often times, the issue and/or resolution may be identified in this file by inspecting the [].name.insight.detail property.

    "name": "kotsadm.status",
    "insight": {
      "name": "kotsadm.status",
      "primary": "kotsadm Status",
      "detail": "At least 1 replica of the Admin Console API is running and ready",
      "severity": "debug"
    "severity": "debug",
    "analyzerSpec": ""


  • Contains logs of individual pods.

  • Execution Context logs are stored in ./logs/execution-contexts.

(typical application logs)


  • Contains the configuration of each visible resource in the cluster.

  • For example, to see all pods in the cluster, navigate to the ./cluster-resources/pods directory which contains one file per namespace in the cluster.

  "kind": "PodList",
  "apiVersion": "v1",
  "metadata": {
    "resourceVersion": "1686941"
  "items": [ ... ]

Changelog (KNIME Business Hub 1.3.0)

KNIME Business Hub 1.3.0

(released April 03, 2023)

Important installation notes

  • With the release of KNIME Business Hub 1.3.0 new security features are introduced regarding executor communication. For this reason, KNIME Business Hub requires every executor to be on Analytics Platform version 4.7.1 or higher. You can find a list of the available executor images here.

  • With this release we changed the istio configuration of two services, to allow them to see the IP of the caller if the request is coming from within the cluster. This can cause those two services (keycloak-proxy, s3-proxy) to not start up in some scenarios, with a "too many open files" error in the istio-proxy container of those pods. This can be fixed by increasing the open file limit on the host VM, e.g. by running the following command:
    sudo sysctl fs.inotify.max_user_instances=8192.

  • The KOTS App Manager is now on version 1.96.3. This new version fixes an important bug, so it should be updated before updating to KNIME Business Hub version 1.3. To do so use the following command:
    curl -sSL | sudo bash.

  • If you haven’t updated to KNIME Business Hub 1.2.0, yet, you need to follow update guide in the changelog for 1.2.0 before updating to 1.3.

New Features

Molecule sketcher
Use the new Molecule Widget (Labs) node to accept molecule input from your users. With this new node we made the integration of different sketchers easier and allowed to provide different sketchers also for the KNIME Analytics Platform. In this release the ketcher sketcher is included. Additional sketchers will follow in the upcoming releases.

Introduce your users to a topic using collection pages. Collection pages serve as a starting point for your users to explore examples and building blocks related to your chosen topic, facilitating their onboarding process. To start creating collections read our guide here.

KNIME Analytics Platform customization profiles
Use Business Hub to distribute preference profiles to either local Analytics Platform clients or to KNIME Hub executors. This can be used to e.g. easily ship database drivers. More information about Analytics Platform customization profiles here.

Trigger deployment
Trigger is a powerful new type of deployment which allows automating workflow execution based on specific conditions, such as another workflow or component being added or removed to a space. To get started with Triggers, check out our documentation here.

Changelog (KNIME Business Hub 1.2.0)

KNIME Business Hub 1.2.0

(released March 13, 2023)

KNIME Business Hub 1.1.1 to 1.2.0 Upgrade

  • KNIME Business Hub 1.2.0 is expected to run in a Kubernetes 1.23.x cluster. Prior versions of KNIME Business Hub ran in Kubernetes 1.21.x clusters.

  • For embedded kurl cluster installations, the cluster update process is to:

    • First, check for updates in KOTS Admin Console.

    • Once the KNIME Business Hub 1.2.0 update has been identified and preflight checks have been run, trigger the deployment.

    • After the deployment process has completed, run the following command in the terminal of the host machine to upgrade the Kubernetes cluster version (among other components):

      • curl -sSL | sudo bash

      • You will have to enter y to various yes/no prompts during this upgrade process.

New Features


  • Removed the unused ipv6 listener in the Business User Portal container, that could cause crashes in some environments