Snowplow is a flexible customer data infrastructure that lets companies capture, process and use behavioral data for AI, advanced analytics and personalized experiences. It offers private deployment options and lets customers define events and entities in whatever way makes sense for their business. Snowplow can send data to a variety of destinations, including Snowflake, Databricks and BigQuery, and supports a variety of deployment options, making it a good choice for a range of industries and use cases.
Another good choice is Lytics, a secure and flexible composable customer data platform for enterprises. It includes generative AI integration, a composable architecture for flexibility, and data clean room functionality using Google BigQuery for protected data sharing. Lytics offers three flexible deployment options to accommodate different privacy and compliance requirements, with maximum data security and control.
Oracle Cloud Infrastructure is another good option, offering a distributed cloud platform that can be used in public, on-premises or hybrid environments. With more than 100 cloud services including AI, machine learning and big data analytics, Oracle Cloud Infrastructure has a wealth of options for addressing digital sovereignty requirements. It can be deployed across 48 interconnected geographic regions, with strong security and flexibility.