Sync data from Databricks to Braze
Connect your data from Databricks to Braze with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Sync data from Databricks to Braze
- Sync data about users and accounts into Braze to build hyper-personalized campaigns
- Automatically update your Braze segments with fresh data from your warehouse
- Deliver better experiences by bringing in data from other customer touchpoints into Braze
What Braze objects can you sync to?
Users
Use Hightouch to updated Braze Users with custom events, purchases, and other user profile attributes.
Events
An event object is an object that gets passed through the API when a specific event occurs. Events objects are housed in an events array. Use Hightouch to sync track events and purchases.
Subscription Groups
Subscription Groups are the foundation for sending SMS, MMS, or email messages through Braze. Hightouch supports syncing to existing subscription groups within Braze.
Catalogs
Catalogs allow you to access data from imported CSV files and API endpoints to enrich your messages, similar to custom attributes or custom event properties through Liquid.
Campaigns
If you want to engage with your users with a single message step, you can send them a campaign using any supported Messaging Channels. Hightouch lets you use records from your models to trigger campaigns through the Braze Campaign API.
Catalogs
Catalogs allow you to access data from imported CSV files and API endpoints to enrich your messages, similar to custom attributes or custom event properties through Liquid.
What methods can I use to model my Databricks data?
dbt model selector
Sync directly with your dbt models saved in a git repository.
SQL editor
Create and Edit SQL from your browser. Hightouch supports SQL native to Databricks.
Sigma model
Hightouch converts your Sigma workbook element into a SQL query that runs directly on Databricks.
Table selector
Select available tables and sheets from Databricks and sync using existing views without having to write SQL.
Customer Studio
For less technical users, pass traits and audiences from Databricks using our visual segmentation builder.
FAQs
There are several options to sync data between sources. You can manually build and maintain a data pipeline, use a point-to-point solution such as Zapier, or you can manually upload CSVs.
With Hightouch, you get:
- Automation: You do not need to build and maintain custom data pipelines and you do not have to have your team do manual work
- Simplicity: You avoid a complex web of integrations caused by point-to-point solutions by syncing data from your source
- Speed: You can get set up in quickly - the average Hightouch customer starts syncing data in 23 minutes
- Control: companies of all sizes have access to enterprise-level controls including observability, dbt integrations, and version control
- Security: Hightouch never stores your data and is HIPAA, GDPR, CCPA, and SOC-2 compliant
90% of all Hightouch syncs complete in 30 seconds or less, and the platform enables non-technical users to self-serve.
With Hightouch, you can sync data as frequently as it changes within your Databricks. You can trigger data syncs manually or schedule them to run at an interval or custom recurrence as often as once per minute.
Hightouch offers a basic mapper or advanced mapper that allows you to visually match columns from your Databricks to fields in Braze.
Yes, if you integerate Databricks and Braze 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 Braze). 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 workshere.