Snowflake brings Innovations to Apache Iceberg tables

 

 

 

Snowflake has announced major innovations to its Apache Iceberg integration, enhancing the Snowflake data platform with full support for one of the most rapidly growing open table formats. This update brings improved performance, secure data sharing, and robust data protection for organizations aiming to modernize their data architectures.

By integrating Snowflake Apache Iceberg capabilities, enterprises can activate and analyze data faster—with zero data movement and full interoperability across open and managed environments. This empowers customers to scale AI-powered applications, accelerate open lakehouse strategies, and unify analytics workflows.

“The future of data is open, but it also needs to be easy. Customers shouldn’t have to choose between open formats and best-in-class performance or business continuity. With Snowflake’s latest Iceberg tables innovations, customers can work with their open data exactly as they would with data stored in the Snowflake platform, all while removing complexity and preserving Snowflake’s enterprise-grade performance and security,” said Christian Kleinerman, EVP of Product, Snowflake.

With these upgrades, users benefit from open standards without sacrificing the simplicity, security, and scalability Snowflake is known for. The platform enables global businesses to manage, share, and analyze large volumes of structured and unstructured data seamlessly, driving advanced insights and innovation while avoiding vendor lock-in. 

 

Snowflake combines the flexibility of open data formats with its secure, easy-to-use platform. These improvements further position Snowflake analytics as a top choice for organizations embracing open data formats and next-generation data solutions.