Amperity launches composable ‘Lakehouse’ CDP

Amperity, the customer 360 platform, is describing its new, composable CDP offering as the first “Lakehouse CDP.” This approach obviates the need for reverse ETL — the commonly used means of synching data from a data warehouse to an operating system such as a CDP — or data copying.

Amperity Bridge will allow users to point and share data to and from a data warehouse. It is now available for Databricks and Snowflake.

What is a “lakehouse”? As the name suggests, a data lakehouse combines the properties of a data lake, storing raw, structured and unstructured data, and a data warehouse, a repository for cleaned and processed data.

Amperity’s Lakehouse CDP will enable sharing of live data sets using lakehouse “open table formats” designed to make data accessible and interoperable across various tools. This approach is said to be faster and more cost-efficient than reverse ETL.

“Amperity’s Lakehouse CDP rides the wave of open data sharing, enabling brands to build cross-platform data workflows. Our goal is to ensure high-quality customer data is available across all platforms that use lakehouse architecture without replication,” said Barry Padgett, CEO of Amperity, in a release.

Why we care. It’s worth noting that there are other CDPs playing in the lakehouse space, although it’s early to say whether this approach will overtake the more standard approach to composability using reverse ETL. But getting clean data where it’s needed, fast and inexpensively, can’t be a bad thing.