ATTOM™ in Databricks Delivered Through Delta Sharing
Fast. Flexible. Real-Time Delivery.Instant and Secure Access Inside Databricks Workspace
ATTOM now offers seamless access to our premium real estate, neighborhood, and property datasets through Databricks Delta Sharing. Work with ATTOM’s property data instantly inside your Databricks environment with no ingestion, no pipelines, and no ETL.
This approach makes ATTOM’s property data immediately available for analytics, machine learning, and AI driven workflows.
How Databricks Delivery Works
ATTOM uses Databricks Delta Sharing to provide property data directly into your Databricks workspace through a secure share. This open sharing protocol allows you to access ATTOM datasets inside your own environment with no file handling and no pipeline maintenance. With this delivery method, you get:
Use data in a query ready format with no extract or transform work
Key Benefits
ATTOM Maintains and Updates the Data for You
We manage ingestion, updates, maintenance, and data quality so your analytics and AI workflows always run on current and trusted property data.
Fast Onboarding
After the share is created your team can build a Databricks catalog from it with only a few clicks.
Live Real-Time Data Access
Updated datasets are available the moment you query them.
Secure and Governed
Access is protected through Databricks enterprise grade security including role-based access control and encryption, supporting governance across analytics and AI use cases.
Flexible and Scalable Consumption
Scale your data queries and workloads as needed using your existing Databricks compute resources.
What is Databricks Delivery?
Databricks delivery is a method for accessing ATTOM curated real estate datasets inside your Databricks workspace through the Delta Sharing protocol. This approach allows you to work with ATTOM data without managing ingestion pipelines or performing file transfers.
How Can You Use Databricks Delivery?
Advanced Analytics Teams Explore ATTOM property data inside a collaborative environment that supports SQL analysis, feature engineering, and interactive data exploration.
Use ATTOM datasets directly in notebooks and workflows to build models for valuation, risk scoring, forecasting, recommendation engines, and AI-driven insights.
Business Intelligence Teams Create dashboards and visual reports using ATTOM data through Databricks SQL or connected BI tools.
Real Estate Strategy and Market Insights Teams Evaluate market trends, neighborhood conditions, pricing changes, and property level activity using current and historical datasets.
Risk and Compliance Teams Verify property information, assess exposure, and support audit readiness with secure and governed access to ATTOM datasets.
Product and Innovation Teams
Embed ATTOM data into internal tools, data products, and AI powered applications without waiting on ingestion cycles.
Startups and Small Teams Move quickly with immediate access to curated property data in a fully managed environment that removes the need for complex infrastructure.
Finance and Portfolio Management Teams Monitor property performance, analyze value, and track market conditions with always current datasets that update automatically.