Sync data from
Databricks to Segment
Connect your data from Databricks to Segment with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Integrate your data in 3 easy steps
01
Add your source and destination
Connect to 15+ data sources, like Databricks, and 150+ destinations, like Segment.
Connect
Log in
02
Define your model
Use SQL or select an existing dbt or Looker model.
03
Sync your data
Define how fields from your model map to Segment, and start syncing.
email
email
name
name
total_orders
all_orders
last_login
last_login
Model your Databricks data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
SQL Editor
Create and Edit SQL from your browser. Hightouch supports SQL native to 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.
Does this integration support in-warehouse planning?
Yes, if you integerate Databricks and Segment 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 Segment). 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.
Build customer segments in Hightouch using SQL and sync them with Segment on a schedule
Send details of customers entering and exiting your segments directly to Segment
Leverage Segment's large catalog of destinations to get your warehouse data into hundreds of SaaS tools
About Databricks
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 Segment
Segment provides a single API to track customer data across multiple devices and channels and send it to third-party tools, internal systems, and data warehouses.
Learn more about SegmentOther 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.
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This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
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Head of Marketing Technology
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Your data is always secure
SOC 2 Type 2 compliant
Your data stays secure, available, and confidential. To see our report, .
GDPR compliant
If you’re in the EU, your data is only processed on EU data centers.
HIPAA compliant
Healthcare companies like ThirtyMadison, Chapter Health, and Headway trust Hightouch.
CCPA compliant
To see our DPA (Data Processing Addendum), .
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