Here’s the translation into American English:
Snowflake has taken an important step toward a more open and flexible data ecosystem by announcing the integration of its core capabilities—high performance, secure data sharing, and advanced protection—with Apache Iceberg™ tables, one of the fastest-growing open data table formats currently available.
This integration allows organizations to leverage their data more agilely and efficiently, without the need to move it or compromise security or performance. Additionally, it enables open interoperability, allowing users to activate and analyze data from managed and open environments without complications.
As a result of this advancement, Snowflake customers can accelerate the adoption of open lakehouse architectures, seamlessly accessing and sharing data to develop and implement advanced solutions, including AI-based applications.
Until now, many companies had to choose between integrated data management platforms or solutions based on open formats like Parquet, which involved certain compromises. With Snowflake’s full support for Apache Iceberg, this dilemma is eliminated: users can store, manage, and analyze their data in an open and interoperable format, while enjoying all the benefits of a reliable, connected, and easy-to-use platform.
“The future of data is open, but it also needs to be easy,” says Christian Kleinerman, EVP of Product, Snowflake. “Customers shouldn’t have to choose between open formats and superior performance, or business continuity. With the latest innovations from Snowflake 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 enterprise performance and security.”
Snowflake’s enhanced support for Iceberg tables can be used to accelerate:
● Lakehouse Analytics: Customers can now enjoy the same compute engine of Snowflake’s native table format in Iceberg tables and apply the Search Optimization service (coming soon to general availability) or Query Acceleration service (coming soon to general availability) 3 4 to Iceberg tables to optimize query performance. With Snowflake’s managed Iceberg tables, customers gain the flexibility of open storage formats while still benefiting from the excellent price-performance ratio that distinguishes Snowflake’s AI Data Cloud as an industry leader 5. Snowflake is actively collaborating with the Apache Iceberg community to launch support for VARIANT data types.
● Comprehensive security and governance, with built-in business continuity and disaster recovery: Snowflake provides seamless security for Iceberg tables, offering powerful and intuitive controls to keep open lakehouse environments secure and easy to manage, while also enabling customer compliance. Customers get the best of both worlds: the flexibility of open data with integrated security. Snowflake is also extending its reliable data replication and synchronization to Iceberg tables (in private preview), ensuring that in the event of a system failure, cyberattack, or other disasters, businesses can quickly restore their data without significant disruption, all while supporting open lakehouse architectures.
● Data Sharing: By bringing Snowflake’s secure data sharing technology to Iceberg tables, customers can seamlessly access, share, distribute, and monetize their data, just as they do with Snowflake’s native table formats.
Propelling the Future of Open Source and Data Innovation
Snowflake is deeply committed to promoting open standards and community-driven open source projects that enhance data interoperability and transparency. In fact, 35% of Snowflake’s acquisitions over the past four years have been companies with technologies that bolster open data ecosystems, underscoring the company’s investment in openness.
Among the notable open source projects Snowflake contributes to are:
● Apache IcebergTM: Snowflake’s contributions to Iceberg enable efficient and governed data lake management with schema evolution, partitioning, and transaction management.
● Apache NiFi: Built on NiFi, Datavolo (acquired by Snowflake in 2024) simplifies the ingestion, transformation, and management of real-time pipelines.
● Apache PolarisTM (In Incubation): Designed to overcome vendor-lock challenges, Apache PolarisTM guarantees enterprise security and interoperability for Iceberg across major cloud providers.
● Modin: Snowflake accelerates pandas workloads (Python library) with Modin (acquired by Snowflake in 2023), allowing smooth scalability without code changes.
● Streamlit: Snowflake’s integration with Streamlit (acquired by Snowflake in 2022) enables users to easily create and share interactive web applications, data dashboards, and visualizations.
● TruEra: TruEra (acquired by Snowflake in 2024) drives AI explainability and model performance monitoring for bias detection, regulatory compliance, and performance insights.