Question: Do you know of a warehouse-native customer data platform that prioritizes data governance and security for technical data teams?

If you're looking for a warehouse-native customer data platform that's geared for data governance and security and that technical data teams will appreciate, RudderStack is worth a serious look. RudderStack collects and unifies customer data from various sources, ensuring data quality, compliance and identity resolution. Its features include event streaming, customer profile creation, reverse ETL and data governance, and no data is stored on its servers. It's a good fit for data leaders who want to drive business growth with more sophisticated use cases like AI and ML projects.

Another good choice is Treasure Data, a Gartner leader in Customer Data Platforms. It marries historical and real-time behavior with AI-generated predictions to build a unified customer profile. The platform is good at breaking down data silos and improving sales and efficiency with good data governance and compliance tools. Treasure Data is a good choice for a single platform to deliver connected customer experiences and has been used by several companies to drive business growth.

For those who need a data intelligence platform with strong governance, Collibra offers a range of products including AI Governance, Data Catalog and Data Quality & Observability. It can be used for data analytics and AI model development, with features like data quality monitoring, policy enforcement and compliance risk reduction. Collibra is highly scalable and flexible, increasing productivity by automating data processes.

Last, Databricks offers data, analytics and governance combined with generative AI. It supports a wide range of tools and integrations, including ETL, business intelligence and AI, built on lakehouse architecture. Databricks is geared for people who want to build, deploy and operate AI applications directly on their data while keeping control and privacy. The platform offers a free trial, so you can try it out.