Sync data from
Databricks to Azure Functions
Connect your data from Databricks to Azure Functions with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
Trusted by data teams at
Trusted by data teams at
Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Databricks, and 150+ destinations, like Azure Functions.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Azure Functions, and start syncing.
Model your Databricks data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Create and Edit SQL from your browser. Hightouch supports SQL native to Databricks.
Select available tables and sheets from Databricks and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Databricks using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Databricks and Azure Functions using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Azure Functions). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
Exercise granular control over triggers, batching rules, rate limits, concurrency limits, and error handling.
Use a programming language of your choice: Python, Java, C#, and more.
Filter, transform, or enrich your data while syncing.
Connect with a dedicated service account so that Hightouch can invoke your functions without exposing them to the public internet.
Databricks is a data science and analytics platform built on top of Apache Spark. Databricks implement the Data Lakehouse concept in a single unified, cloud based platform.Learn more about Databricks
About Azure Functions
This integration is part of the Hightouch custom destination toolkit, a suite of developer-focused destinations that make it easy to build custom connectors.Learn more about Azure Functions
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