The ActionIQ & Databricks Partnership
Databricks, is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. Integrated with cloud storage and security, the Databricks Data Intelligence Platform efficiently manages and deploys cloud infrastructure.
By directly integrating ActionIQ on top of Databricks via native reverse ETL, customers are able to unbundle their customer data stack for improved governance, self-service accessibility for business teams and improved customer experiences.
Key Benefits of the Databricks Partnership
Keep Data in Databricks
Maximize your Databricks investment and improve security by keeping your data in Databricks.
Improved Performance
Reduce operational effort, increase productivity and cut down on unnecessary technology costs by making your data accessible to business users.
No-Cost POC
Unlike traditional CDPs that require data to be replicated and copied in, ActionIQ's complete CX solution maps to Databricks, making setup fast and easy.
Connecting the Modern Data Stack with the Modern CX Stack
"At Databricks, we are seeing IT successfully consolidating the data, but urgently looking to provide access to it without first duplicating this data in a new system. The combination of Databricks and ActionIQ is a compelling solution to host customer data with full privacy settings and controls while giving business access to the business applications they are looking for."
Recommended Resources
Product Documentation
Databricks Partner Solution Sheet
Learn how ActionIQ & Databricks work together to build modern composable customer data stacks and maximize tech investments
Seamlessly Connect the Stack
Integrate your marketing tools, analytics, or data warehouse with ActionIQ
See What ActionIQ and Databricks Can Do For You
Discover how ActionIQ’s Composable CDP helps brands design hyper-segmented audiences and orchestrate experiences at scale to increase revenue across the customer lifecycle - by tapping straight into Databricks.