Integrations Databricks Pivotal Tracker
Databricks + Pivotal Tracker

Connect Databricks and Pivotal Tracker to Build Intelligent Automations

Choose a Trigger

Databricks

When this happens...

Choose an Action

Pivotal Tracker

Automatically do this!

Ready to use Databricks and Pivotal Tracker automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Activity

New Activity

Triggers when any new activity happens within a project.

New Project

New Project

Trigger when a new Project is added.

New Story

New Story

Triggers when a new story is added in a project.

Request a new Trigger for Databricks

Do thisActions

Action is the task that follows automatically within your Databricks integrations.

Create Cluster

Create Cluster

Creates a new Databricks cluster for processing tasks.

Create a Directory

Create a Directory

Create a directory by a path.

Delete a Job

Delete a Job

This action deletes a job by ID.

Create a Repo

Create a Repo

Creates a repo in the workspace and links it to the remote Git repo specified.

Delete Repo

Delete Repo

Delete a Repo

Create Project

Create Project

creates a new project.

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Frequently Asked Questions

How do I start an integration between Databricks and Pivotal Tracker?

To start, connect both your Databricks and Pivotal Tracker accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Pivotal Tracker (or vice versa).

Can we customize how data from Databricks is recorded in Pivotal Tracker?

Absolutely. You can customize how Databricks data is recorded in Pivotal Tracker. This includes choosing which data fields go into which fields of Pivotal Tracker, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Databricks and Pivotal Tracker?

The data sync between Databricks and Pivotal Tracker typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Databricks to Pivotal Tracker?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Databricks and Pivotal Tracker?

Yes, you can set conditional logic to control the flow of data between Databricks and Pivotal Tracker. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Databricks

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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Pivotal Tracker

About Pivotal Tracker

Pivotal Tracker is a powerful, agile project management tool designed to help software development teams plan, track, and collaborate on projects efficiently. It provides a shared view of team priorities, a process for collaboration, and real-time updates to keep everyone on the same page.

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