Connect TidyCal and Databricks
Integrate TidyCal with Databricks to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Cluster in Databricks when When a new booking is created in TidyCal
Create a Directory in Databricks when When a new booking is created in TidyCal
Delete a Job in Databricks when When a new booking is created in TidyCal
Create a Repo in Databricks when When a new booking is created in TidyCal
Delete Repo from Databricks when When a new booking is created in TidyCal
Popular TidyCal + Databricks flows
Start from a real workflow other teams are already running.
Choose a trigger
TidyCal
When this happens...
When a new booking is created
When a booking is cancelled
When a booking is rescheduled
When a new booking type is created
When a new contact is created
When a new booking is created for a team
When a user is added to a team
Choose an action
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Create Cluster in Databricks when When a new booking is created in TidyCal
Use this flowCreate a Directory in Databricks when When a new booking is created in TidyCal
Use this flowDelete a Job in Databricks when When a new booking is created in TidyCal
Use this flowCreate a Repo in Databricks when When a new booking is created in TidyCal
Use this flowDelete Repo from Databricks when When a new booking is created in TidyCal
Use this flowCreate Cluster in Databricks when When a booking is cancelled in TidyCal
Use this flowCreate a Directory in Databricks when When a booking is cancelled in TidyCal
Use this flowDelete a Job in Databricks when When a booking is cancelled in TidyCal
Use this flowCreate a Repo in Databricks when When a booking is cancelled in TidyCal
Use this flowDelete Repo from Databricks when When a booking is cancelled in TidyCal
Use this flowSupported Triggers & Actions
Everything you can automate between TidyCal and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
When a new booking is created
Runs the workflow automatically whenever a new booking is created in the account.
When a booking is cancelled
Runs the workflow automatically whenever a booking is cancelled in TidyCal.
When a booking is rescheduled
Runs the workflow automatically whenever a booking is rescheduled in the account.
When a new booking type is created
Runs the workflow automatically whenever a new booking type is created in the account.
When a new contact is created
Runs the workflow automatically whenever a new contact is created in the account.
When a new booking is created for a team
Runs the workflow automatically whenever a new booking is created for the selected team.
Do thisActions
Action is the task that follows automatically within your TidyCal integrations.
Find Bookings
Retrieve bookings, optionally filtered by start/end date and cancellation status.
List Teams
List teams for the account, optionally returning a specific page of results.
Find Booking Details
Find a booking by ID and return its details.
Cancel Booking
Cancel a booking by its ID.
Create Booking
Create a booking for a specific booking type by specifying the start time, attendee name, email, and timezone.
List Booking Types
List available booking types.
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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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 TidyCal
TidyCal is a simple, user-friendly scheduling tool designed to streamline the process of booking appointments and meetings. It allows users to set up their availability and share personalized booking links, making it easy for others to schedule time with them. TidyCal integrates with various calendar platforms, such as Google Calendar and Outlook, to automatically sync events and avoid double bookings. It’s popular for its clean interface, customizable settings, and time-saving features for both individuals and teams.
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 TidyCal 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 TidyCal 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 TidyCal triggers actions in Databricks, and a separate workflow where Databricks triggers actions in TidyCal. 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 TidyCal and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire TidyCal 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.
