Sync data from
Databricks to HTTP Request
Connect your data from Databricks to HTTP Request 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 HTTP Request.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to HTTP Request, 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 HTTP Request 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 HTTP Request). 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.
Customize your payload using our JSON template builder, which supports variable injection, control flow, and loops. (XML payloads and URL encoded forms are also supported.)
Exercise precise control over rate limits, concurrency, and error handling behavior.
Specify different HTTP methods and URLs for each trigger (i.e., "row added", "row changed", "row removed").
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 HTTP Request
This integration is part of the Hightouch custom destination toolkit, a suite of developer-focused destinations that make it easy to build custom connectors to internal tools and third-party APIs.Learn more about HTTP Request
Other Databricks Integrations
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Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.Read
Activate data to any of your marketing and advertising tools
This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
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