mParticle, a customer data platform, announced today that it is expanding its catalog of data sources to include direct ingestion from data warehouses, starting with Snowflake, followed by support for Google BigQuery, Amazon RedShift and Microsoft Azure. Warehouse Sync offers cost and time savings for data teams looking to maximize their existing data infrastructure and solve the complexities of leveraging customer data for personalization.
With Warehouse Sync, mParticle enables traditional reverse ETL flows while providing a complete data infrastructure to help customers grow their businesses. mParticle’s customer data platform goes beyond traditional reverse ETL, offering real-time many-to-many data streams, native identity resolution, built-in privacy and compliance controls, AI-powered predictions, and the ability to create personalized marketing journeys, all from a single, secure platform.
Warehouse Sync unlocks valuable customer data in data warehouses and makes it instantly available through 300+ real-time marketing and customer engagement APIs. With mParticle, data teams can:
• Accelerate all customer data connections, regardless of source, by easily synchronizing high-quality data with any of mParticle’s 300+ real-time API targets in a highly scalable many-to-many construct.
• Merge the entire customer journey into persistent, real-time, robust 360° customer profiles to navigate to a cookie-free future.
• Maximize customer lifetime value through rich machine learning models to create better recommendations, more accurate predictions, and better uplift models.
“The cloud data warehouse is an important source of rich customer data that teams need to integrate into their data strategies,” said Michael Katz, CEO and co-founder of mParticle. “The customer data stack and the data engineering stack are beginning to converge, which we believe will open up new opportunities for teams of all sizes, and we’re excited to expand our offerings with this latest capability.”