Snowflake has announced innovations to Apache Iceberg tables to help organisations activate data faster with zero data movement and open interoperability. This open, interoperable format targets to allow for seamless data sharing and analysis across different platforms, eliminating the need for complex data movement processes.
Bringing its core capabilities to Apache Iceberg, Snowflake enables users to store, manage, and analyse their data in this format, promoting data agility and accessibility.
“The future of data is open, but it also needs to be easy,” said Christian Kleinerman, EVP of Product, Snowflake. “Customers shouldn’t have to choose between open formats, best-in-class performance, or business continuity.
Enhanced Iceberg tables
Snowflake’s enhanced Iceberg tables support claims to accelerate lakehouse analytics, comprehensive security and governance with built-in business continuity, disaster recovery, and data sharing.
“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,” added Kleinerman.
“By running analytics on Apache Iceberg tables with Snowflake, we’ve unlocked flexibility and performance in managing our manufacturing system data at scale. This open architecture allows us to seamlessly analyse vast datasets while maintaining cost efficiency, delivering faster insights to improve manufacturing processes and faster access to critical data for self-service. Snowflake’s support for Iceberg has not only improved our data agility but also reinforced the industry-wide push toward open standards, ensuring that innovation in genomics remains accessible, scalable, and impactful for the entire scientific community,” said Stephen Horn, staff data solutions architect at Illumina.
