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Connect Databricks integrations

Operationalize your corporate data lakehouse by automating Databricks on Make to orchestrate complex pipeline jobs and sync unity catalogs. Linking this analytics platform to our workflow automation tool lets you run custom SQL queries, upload files to catalog volumes, and monitor active ETL jobs. Sign up today to start automating your cloud data infrastructure.

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Build your Databricks integrations.

Unlock powerful data automation by using Make to integrate Databricks with your essential business tools. Easily sync databases and build custom workflows. Try Make now to connect Databricks.

Databricks
Download a file from a Unity Catalog volume

Downloads a file from a Unity Catalog volume.

Action
Databricks
Execute a SQL statement

Executes a SQL statement on a Databricks SQL warehouse.

Action
Databricks
Get a SQL statement result

Returns the result of a previously executed SQL statement.

Action
Databricks
Get a job run output

Returns detailed output of a specific job run, including task-level results.

Action
Databricks
Get a pipeline update status

Returns the status and details of a specific active pipeline update.

Action
Databricks
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
Databricks
Run a job

Triggers a new run of a Databricks job.

Action
Databricks
Upload a file to a Unity Catalog volume

Uploads a file to a Unity Catalog volume.

Action

Connect any app with Databricks

Popular Databricks workflows.

Connect Databricks with your daily apps. Automate data tasks and run smarter workflows using Make.

Maximize your data potential: Integrate and automate Databricks with Make

Connect Databricks to your favorite apps using Make. Automate complex data workflows, trigger machine learning models, and sync real-time insights across your entire business stack without writing complex code.

Automate heavy data workflows

Trigger powerful Databricks analytical jobs automatically whenever new data arrives in your cloud storage or business apps.

Bridge AI models with everyday apps

Easily connect your custom machine learning models in Databricks to communication tools like Slack or email without writing complex code.

Instant status alerts

Get real-time notifications in your favorite messaging apps the moment a Databricks run finishes or encounters an error.

Streamlined data ingestion

Automatically funnel customer data, form responses, and marketing metrics from hundreds of apps directly into Databricks for analysis.

FAQ

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.

How it works

Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.

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