ETL Databricks data with Designer Cloud

CATEGORY: Big Data & NoSQL      STATUS: Available


Databricks combines the best of data warehouses and data lakes into a lakehouse architecture.

ETL data from business-critical applications such as Salesforce, HubSpot, ServiceNow, Zuora, etc. into Databricks in seconds. With Trifacta's Databricks data connector, you can transform, automate, and monitor your Databricks data pipeline in real-time. No code required.


Join Databricks data with any data source

Combine datasets from any data source with your Databricks data. Connect to any data - Trifacta's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's joining Databricks data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Databricks Screenshot

Load data to your data warehouse in minutes

ETL your data to the destination of your choice


No-code automation for your Databricks data pipeline

Designer Cloud empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your Databricks data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Databricks data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to combine and transform data stored in Databricks, ensure that the end result is high-quality data, every time. Trifacta automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Databricks data pipelines with job scheduling so that the right data is in your Databricks database when you need it. When new data lands in your Databricks database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.


"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."


Use cases for the Databricks data connector

  • ETL Databricks data to Amazon Redshift

  • ETL Databricks data to Google BigQuery

  • ETL Databricks data to Snowflake

  • ETL Databricks data to MySQL

  • ETL Databricks data to Microsoft Azure

  • Join Databricks data with Google Sheets data

  • Prepare Databricks data for data visualization in Tableau

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