Snowflake Introduces Innovations in Apache Iceberg
Snowflake, the AI Data Cloud company, has announced that it is incorporating its core capabilities—performance, secure data sharing, and data protection—into Apache Iceberg tables, an open data table format. This integration enables organizations to activate their data with greater agility, eliminating the need to move it and ensuring open interoperability.
“The future of data is open, but it must also be easy,” said Christian Kleinerman, EVP of Product, Snowflake. ”Customers shouldn't have to choose between open formats and superior performance or business continuity. With Snowflake's latest innovations in Iceberg tables, customers can work with their open data exactly as they would with data stored on the Snowflake platform, all while eliminating complexity and preserving Snowflake's performance and enterprise security.”
Christian Kleinerman, EVP of Product, Snowflake.
Snowflake's enhanced support for Iceberg tables can be used to accelerate Lakehouse analytics. Customers can now use the same compute engine as Snowflake's native table format on Iceberg tables, and apply the Search Optimization service or Query Acceleration service to Iceberg tables to optimize query performance.
Comprehensive security and governance are also enhanced, with built-in business continuity and disaster recovery: Snowflake delivers seamless security to Iceberg tables, providing powerful and intuitive controls to keep open lakehouse environments secure and easy to manage, while enabling customer compliance.
Data sharing is also improved. By bringing Snowflake's secure data exchange technology to Iceberg tables, customers can seamlessly access, share, distribute, and monetize their data, just as they do with Snowflake's native table formats.
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