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Databricks

Connect Databricks integrations

Orchestrate your cloud data lakes and analytics pipelines by connecting Databricks with Make to run SQL queries and manage data processing jobs. Linking this analytics platform to our workflow automation tool lets you instantly trigger pipeline updates and upload files to Unity Catalog volumes. Sign up today to connect your workspace and automate your big data.

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Databricks

This app is supported and maintained by Make.

Triggers and actions

Developed, supported and maintained by community users.

Download a file from a Unity Catalog volume
Downloads a file from a Unity Catalog volume.
Action
Execute a SQL statement
Executes a SQL statement on a Databricks SQL warehouse.
Action
Get a job run output
Returns detailed output of a specific job run, including task-level results.
Action
Get a pipeline update status
Returns the status and details of a specific active pipeline update.
Action
Get a SQL statement result
Returns the result of a previously executed SQL statement.
Action
Make an API call
Sends a custom API call to Databricks. You can use this to call endpoints that aren't covered by existing modules.
Action
Run a job
Triggers a new run of a Databricks job.
Action
Upload a file to a Unity Catalog volume
Uploads a file to a Unity Catalog volume.
Action
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Supercharge your workflows

Connect and Automate Databricks with Make to Scale Your Business Workflows

Connect Databricks to your everyday apps using Make. Quickly automate data pipelines, receive instant status alerts, and deploy AI models without writing code to help your team work smarter.

Automated Data Pipelines

Connect your everyday business apps to Databricks to automatically ingest data and trigger analytical runs without manual coding.

Code-Free AI Deployments

Easily plug Databricks' generative AI models into your customer service tools, CRMs, or websites using Make's visual drag-and-drop builder.

Instant Notifications on Job Status

Receive real-time alerts in Slack or email the moment a Databricks machine learning model finishes training or encounters an error.

Simplified Data Ingestion

Automatically funnel unstructured data from cloud storage, forms, and email attachments straight into Databricks for processing.

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.