Snowflake, the AI Data Cloud company, announced that it is bringing its core capabilities to Apache Iceberg tables, one of the fastest-growing open table formats, to empower organizations to activate data faster with zero data movement and open interoperability.
As a result, Snowflake customers can now seamlessly accelerate their open lakehouse strategies, unlocking data access and analysis across open and managed environments to build, scale, and share advanced insights and AI-powered apps faster, according to the company.
With Snowflake's full support for Apache Iceberg tables, customers now gain the best of both worlds. Users can store, manage, and analyze their data in an open, interoperable format, while still benefiting from Snowflake's easy, connected, and trusted platform.
All of this happens without vendor lock-in, enabling thousands of global customers with unparalleled performance and flexibility so they can tap into all their data, and ultimately propel their AI strategies forward, the companies said.
“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 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.”
Snowflake’s enhanced Iceberg tables support can be used to accelerate:
- Lakehouse analytics
- Comprehensive security and governance, with built-in business continuity and disaster recovery
- Data sharing
Notable open source projects that Snowflake contribute to include:
- Apache Iceberg: Snowflake’s contributions to Iceberg enable efficient, governed data lake management with schema evolution, partitioning, and transaction management.
- Apache NiFi: Built on NiFi, Datavolo (acquired by Snowflake in 2024) simplifies ingestion, transformation, and real-time pipeline management.
- Apache Polaris (Incubating): Designed to overcome vendor lock-in challenges, Apache Polaris (Incubating) ensures enterprise security and Iceberg interoperability across major cloud providers.
- Modin: Snowflake accelerates pandas workloads with Modin (acquired by Snowflake in 2023), enabling seamless scaling without code change.
- Streamlit: Snowflake’s integration with Streamlit (acquired by Snowflake in 2022) allows users to build and share interactive web applications, data dashboards, and visualizations with ease.
- TruEra: TruEra (acquired by Snowflake in 2024) boosts AI explainability and model performance monitoring for bias detection, compliance, and performance insights.
For more information about this news, visit www.snowflake.com.