Databricks has changed the way businesses manage and analyze data with its Lakehouse architecture. However, while Databricks Lakehouse Federation makes it easy to query traditional databases and data warehouses, many organizations still struggle with integrating live data from SaaS applications like Salesforce, NetSuite, and SAP.
CData Connect AI now offers a seamless way to connect live SaaS data into Databricks Lakehouse—without the need for complex ETL pipelines or additional tooling. Whether you’re a business user looking for a simple, self-serve solution or a technical expert seeking a lightweight and flexible approach, CData Connect AI enables you to filter, slice, and prepare data before it lands in Databricks, ensuring that only the most relevant information is loaded.
Why CData Connect AI for Databricks?
Traditionally, moving SaaS data into Databricks has required ETL tools that introduce additional cost, complexity, and governance challenges. CData Connect AI removes these barriers by offering:
Self-service data access – Connect to over 270 sources without coding or heavy IT involvement.
Live connectivity – Query and update SaaS data in real time, ensuring your analytics are always up to date.
Lightweight data preparation – Filter and refine data before loading to Databricks, reducing unnecessary data movement.
Simple SQL access – Load SaaS data with simple SQL commands, making integration with Databricks Lakehouse Federation seamless.
Better governance – Utilize Databricks Unity Catalog for access control, auditing, and security while working with SaaS data.
A use case example from Japan: Salesforce + Databricks in minutes
A CData Japan customer needed to analyze Salesforce opportunity data alongside Databricks Lakehouse pipelines. Using Connect AI:
Connected Salesforce to Databricks in under 15 minutes.
Applied filters to sync only relevant opportunities (e.g., “Closed-Won” deals).
Governed access via Unity Catalog, ensuring compliance.
“With CData, we eliminated weeks of ETL work. Our sales team now explores live Salesforce data in Databricks dashboards—no coding required.”
—CData Japan customer
How it works
CData Connect AI acts as a virtual gateway, translating API data from SaaS platforms into SQL-accessible endpoints. When combined with Databricks Lakehouse Federation, users can easily connect SaaS data sources as though they were native Databricks tables.
Setup the connection in 5 steps
Sign up for CData Connect AI – Get a free 30-day trial and log in to configure your data sources.
Add a SaaS connection – Choose from over 270 sources, like Salesforce, SAP, or NetSuite, and authenticate your credentials.
Create a Databricks connection – Treat data as a virtual SQL server with CData Connect AI to establish a connection in Databricks Lakehouse Federation or set up a scheduled query to have data update in Databricks when you need it.
Configure Unity Catalog – Add the new connection to Unity Catalog for enhanced data governance.
Query your data – Access SaaS data directly from Databricks as if it were a native database.
Other CData solutions for your specific data needs
CData Connect AI is perfect for quick, self-serve SaaS data connection to Databricks Lakehouse. If you need more robust and sophisticated data integration, check out some of our other products:
CData Virtuality – An enterprise-grade data virtualization platform for governed, team-wide access to SaaS, on-prem, and cloud data sources in Databricks.
CData Sync – A powerful tool covering ETL/ELT and reverse ETL for full data replication into or out of Databricks, supporting large-scale data movement from on-prem or cloud data sources.
Connect SaaS data to Databricks effortlessly with CData Connect AI
CData Connect AI makes it easy to integrate live SaaS data into Databricks Lakehouse, helping your team unlock faster insights with minimal effort. Start your free trial today and start connecting your data in minutes.
Explore CData Connect AI today
Take an interactive product tour to discover how Connect AI excels at streamlining business processes for real-time insights.
