Connect Datawrapper and Databricks
Integrate Datawrapper with Databricks to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Delete a Job in Databricks when When a chart is created or updated in Datawrapper
Create Cluster in Databricks when When a chart is created or updated in Datawrapper
Create a Directory in Databricks when When a chart is created or updated in Datawrapper
Create a Repo in Databricks when When a chart is created or updated in Datawrapper
Delete Repo from Databricks when When a chart is created or updated in Datawrapper
Popular Datawrapper + Databricks flows
Start from a real workflow other teams are already running.
Choose a trigger
Datawrapper
When this happens...
When a chart is created or updated
Choose an action
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Delete a Job in Databricks when When a chart is created or updated in Datawrapper
Use this flowCreate Cluster in Databricks when When a chart is created or updated in Datawrapper
Use this flowCreate a Directory in Databricks when When a chart is created or updated in Datawrapper
Use this flowCreate a Repo in Databricks when When a chart is created or updated in Datawrapper
Use this flowDelete Repo from Databricks when When a chart is created or updated in Datawrapper
Use this flowSupported Triggers & Actions
Everything you can automate between Datawrapper and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
When a chart is created or updated
Runs the workflow automatically whenever any chart is created or updated in the account.
Do thisActions
Action is the task that follows automatically within your Datawrapper integrations.
Create a Chart
Create a chart with a title and type, add data and metadata (intro, byline, source, notes, number format), choose a theme and placement (workspace, folder, or organization), and optionally customize visualization settings, colors, and publish/embed options.
List Charts
Find charts by ID, title, or filters, with optional pagination.
Find Users
Get a user by ID or list workspace/team members, with optional search, role filters, ordering, and pagination.
List Team Members
List members of a workspace team, with optional search, role or invite filters, ordering, and pagination.
List Folders
Retrieve folders in a workspace, optionally filtering by workspace (slug or name) or by folder name or ID.
Delete a Chart
Delete a chart permanently or move it to trash (recoverable for 30 days).
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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AI will build it for you
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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About Datawrapper
Datawrapper is a powerful tool for creating charts, maps, and tables from your data, making it easy to visualize and share insights. It is designed to help users transform raw data into clear, engaging visualizations that can be embedded in websites or shared across platforms.
Learn moreSimilar apps
About Databricks
Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Datawrapper and Databricks accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Datawrapper and Databricks as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Databricks. No coding required.
Yes. You can set up a workflow where Datawrapper triggers actions in Databricks, and a separate workflow where Databricks triggers actions in Datawrapper. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Datawrapper and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Datawrapper and Databricks integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
