Snowflake Enhances Apache Iceberg Support, Bridging Open Data and AI-Ready Performance

Snowflake announces full support for Apache Iceberg - SiliconANGLE

Snowflake Inc. today said it has extended its core capabilities -- including secure data sharing, security and performance optimization -- to Apache Iceberg, the fast-growing open-source table format. The company said the integration allows organizations to employ Iceberg tables without data migration, enabling analytics and artificial intelligence development directly within open-format environments. Organizations can now run artificial intelligence and analytical workloads directly on open-format data to simplify management and reduce costs. Snowflake said its implementation provides combines the flexibility of open-source interoperability with its security and governance features to effectively remove traditional barriers to open-source adoption. Snowflake and rival Databricks Inc. have been locked in a competition over who is more committed to supporting Iceberg, which competes with both providers' own table formats. With this release, "Customers can work with their open data exactly as they would with data stored in the Snowflake platform," said Christian Kleinerman, executive vice president of product at Snowflake. That includes data lakehouse analytics, the full range of Snowflake security features and data-sharing capabilities. Snowflake said it's extending its data replication and synchronization capabilities to Iceberg tables in a feature available in private preview. That enables customers to quickly restore data without major disruptions in the event of a failure, cyberattack or disasters. Apache Iceberg has rapidly gained traction thanks to its flexible management of large-scale data lakes, schema evolution and transactional capabilities. Snowflake said its Iceberg support is part of a broader commitment to open-source software, as demonstrated by the 35% of its acquisitions over the past four years that have supported open-source technologies. The company said it contributes to multiple open-source initiatives, including Iceberg, Apache NiFi, the Apache Polaris catalog it created and contributed to open source, pandas acceleration, Apache Streamlit and TruEra large language model observability software.

Snowflake Extends Apache Iceberg Support to Strengthen Open Data and AI Capabilities

Companies like Illumina, Komodo Health, Medidata, and WHOOP use Snowflake to activate open-format data for AI and analytics use cases. Snowflake has announced expanded support for Apache Iceberg tables, aiming to give enterprises the flexibility of open formats along with its platform performance and data security. The move allows organisations to work with open-format data without compromising compute power or governance. "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 at Snowflake. The new capabilities allow customers to manage, analyse, and share data stored in Iceberg format using the same features available to native Snowflake tables. Snowflake's enhancements bring secure data sharing, built-in governance, and support for lakehouse analytics, including upcoming general availability for Search Optimisation Service and Query Acceleration Service. Snowflake also offers managed Iceberg tables, enabling customers to use open storage formats while maintaining performance. The platform now supports replication and syncing for Iceberg tables (in private preview), supporting continuity in case of outages or attacks. Thousands of organisations, including Illumina, Komodo Health, Medidata, and WHOOP, use Snowflake to activate open-format data for AI and analytics use cases. Snowflake's secure sharing capabilities now extend to Iceberg, enabling the same data distribution and monetisation workflows used on native tables. Snowflake also highlighted its ongoing support for open source, noting that 35% of its acquisitions over the past four years involved companies focused on open data technologies. It actively contributes to several open source projects to enhance data interoperability and support enterprise AI workloads. These include Apache Iceberg, which provides a framework for open lakehouse management and data governance, and Apache NiFi, supported through Datavolo -- an acquisition made in 2024 -- to enable real-time pipeline orchestration. Snowflake also backs Apache Polaris (Incubating), a project focused on ensuring cross-cloud interoperability for Iceberg. Additionally, Snowflake supports Modin, acquired in 2023, to help scale pandas-based data processing, and Streamlit, which enables the creation of data applications and interactive dashboards. With the 2024 acquisition of TruEra, Snowflake is also advancing AI explainability, bias detection, and regulatory compliance. "The future of data is open, but it also needs to be easy," Kleinerman added. "Customers shouldn't have to choose between open formats and best-in-class performance or business continuity." By integrating Apache Iceberg into its broader AI Data Cloud strategy, Snowflake looks forward to accelerating the development of AI-powered applications, analytics, and insights without vendor lock-in.

Snowflake Brings Apache Iceberg Innovations to the AI Data Cloud

· Lakehouse Analytics: Customers can now experience the same compute engine of Snowflake's native table format on Iceberg tables, and apply Search Optimization Service (general availability soon) or Query Acceleration Service (general availability soon) on Iceberg tables for enhanced query performance. With Snowflake's managed Iceberg tables, customers gain the flexibility of open storage formats while preserving the industry-leading price-performance of Snowflake's AI Data Cloud. Snowflake is actively collaborating with the Apache Iceberg community to launch support for VARIANT data types. · Comprehensive Security & Governance, with Built-In Business Continuity and Disaster Recovery: Snowflake brings seamless security to Iceberg tables, providing powerful, intuitive controls to keep open lakehouse environments secure and easy to manage, while enabling customer compliance. Customers get the best of both worlds -- open data flexibility with built-in security. Snowflake is also extending its reliable data replication and syncing to Iceberg tables (in private preview), ensuring that in the case of a system failure, cyberattack, or other disasters, companies can quickly restore their data without major disruptions, all while supporting open lakehouse architectures. · Data Sharing: By bringing Snowflake's secure data sharing technology to Iceberg tables, customers can access, share, distribute, and monetize their data seamlessly, just as they do with native Snowflake table formats.

Snowflake Unveils Apache Iceberg™ Innovations, Giving Enterprises the Best of Open Data and AI-Ready Performance

Customers now get the best of both worlds: Iceberg's flexibility and interoperability coupled with Snowflake's powerful platform to make their data easy, connected, and trusted Thousands of customers including Illumina, Komodo Health, Medidata, and WHOOP can now easily activate open-format data with best-in-class performance Snowflake (NYSE: SNOW), the AI Data Cloud company, announced that it is bringing its core capabilities -- unparalleled performance, secure data sharing, and data protection -- to Apache Iceberg™ tables1, one of the fastest-growing open table formats, empowering 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 in order to build, scale, and share advanced insights and AI-powered apps faster. Until now, organizations have been forced to make tradeoffs when it comes to managing their data -- relying on integrated data platforms or opting for open, interoperable data formats like parquet. 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 of their data, and ultimately propel their AI strategies forward. "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: Customers can now experience the same compute engine of Snowflake's native table format on Iceberg tables, and apply Search Optimization Service (general availability soon) or Query Acceleration Service (general availability soon) on Iceberg tables for enhanced query performance. With Snowflake's managed Iceberg tables, customers gain the flexibility of open storage formats while preserving the industry-leading price-performance of Snowflake's AI Data Cloud. Snowflake is actively collaborating with the Apache Iceberg community to launch support for VARIANT data types. Comprehensive Security & Governance, with Built-In Business Continuity and Disaster Recovery: Snowflake brings seamless security to Iceberg tables, providing powerful, intuitive controls to keep open lakehouse environments secure and easy to manage, while enabling customer compliance. Customers get the best of both worlds -- open data flexibility with built-in security. Snowflake is also extending its reliable data replication and syncing to Iceberg tables (in private preview), ensuring that in the case of a system failure, cyberattack, or other disasters, companies can quickly restore their data without major disruptions, all while supporting open lakehouse architectures. Data Sharing: By bringing Snowflake's secure data sharing technology to Iceberg tables, customers can access, share, distribute, and monetize their data seamlessly, just as they do with native Snowflake table formats. Driving the Future of Open Source and Data Innovation Snowflake is deeply invested in advocating for open standards and community-driven open source projects that enhance data interoperability and transparency. In fact, 35% of Snowflake's acquisitions over the last four years have been companies with technologies that strengthen open data ecosystems, underscoring the company's investment in openness. Notable open source projects that Snowflake contributes to include: Apache IcebergTM: 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 PolarisTM (Incubating): Designed to overcome vendor lock-in challenges, Apache PolarisTM (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. Supporting Snowflake Customer Quotes on the Power of Iceberg: Illumina: "By running analytics on Apache Iceberg tables with Snowflake, we've unlocked flexibility and performance in managing our manufacturing system data at scale2. This open architecture allows us to seamlessly analyze 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." -- Stephen Horn, Staff Data Solutions Architect, Illumina Komodo Health: "At Komodo Health, our mission is to reduce the global burden of disease through our comprehensive Healthcare Map®, platform, tooling, and analytics solutions. Apache Iceberg and open source catalogs like Polaris Catalog have been transformative in helping us create actionable and governed insights from complex healthcare data. Open table formats provide the flexibility, interoperability, and enhanced data governance we need, while Snowflake's unparalleled performance capabilities ensure we can scale these insights effectively with maximum efficiency. Together, this powerful technology foundation empowers us to make healthcare data more accessible and actionable, ultimately improving patient outcomes across the healthcare ecosystem." -- Laurent Bride, Chief Technology Officer, Komodo Health Medidata, a Dassault Systèmes brand: "Innovations like Apache Iceberg are critical for Medidata and drive usability for our products like Clinical Data Studio to help our customers achieve faster, more flexible, and simpler data operations. A unified data layer is the foundation for our AI powered platform. Open, interoperable data standards, particularly through Snowflake's robust open catalog, Iceberg tables, and data collaboration technologies, will further advance our data strategy and propel our industry." -- Tom Doyle, Chief Technology Officer, Medidata. WHOOP: "Data interoperability and flexibility are essential to delivering accurate, real-time insights to our customers. The vendor-neutral design of Apache Iceberg and Apache Polaris Catalog ensures we can seamlessly activate diverse data sources without having to copy it or get locked into a single ecosystem." -- Matt Luizzi, Senior Director of Business Analytics, WHOOP Learn More: Get started with Apache Iceberg tables and Snowflake using this quickstart. See how thousands of global organizations are powering their open data lakehouses with Snowflake through these resources. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X. 1 "Apache" is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries. 2 For research use only. Not for use in diagnostic procedures. Forward Looking Statements This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake's business strategy, (ii) Snowflake's products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake's products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading "Risk Factors" and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. © 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). About Snowflake Snowflake makes enterprise AI easy, efficient and trusted. More than 11,000 companies around the globe, including hundreds of the world's largest, use Snowflake's AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

Snowflake enhances Apache Iceberg support for open data analytics By Investing.com

BOZEMAN, Mont. - Snowflake Inc. (NYSE: SNOW), a $43.7 billion market cap leader in AI Data Cloud solutions with impressive 29% year-over-year revenue growth, has announced the integration of its performance and security features with Apache Iceberg tables, aiming to provide customers with improved data activation and management capabilities. According to InvestingPro data, the company maintains strong financial health with a robust 67% gross profit margin. This development allows Snowflake users to leverage the company's powerful platform while maintaining the flexibility and interoperability of open table formats. With a healthy current ratio of 1.78 and more cash than debt on its balance sheet, Snowflake demonstrates the financial stability needed to continue investing in such technological advancements. Discover more insights about Snowflake's financial position and growth potential with InvestingPro, which offers 10+ additional exclusive tips and comprehensive analysis. The move is designed to eliminate the need for organizations to choose between integrated data platforms and open, interoperable data formats. Snowflake's enhanced support for Apache Iceberg tables enables seamless access and analysis of data across both open and managed environments, facilitating the development and sharing of advanced insights and AI-powered applications. Snowflake's initiatives include offering the same compute engine for Iceberg tables as for its native format, applying upcoming services like Search Optimization and Query Acceleration for better query performance, and extending reliable data replication and syncing to Iceberg tables, currently in private preview. These enhancements are expected to provide the flexibility of open storage formats without compromising Snowflake's industry-leading performance. In addition to technical advancements, Snowflake is actively participating in open-source projects and has made significant acquisitions to strengthen open data ecosystems. The company's contributions to Apache Iceberg, Apache NiFi, Apache Polaris (Incubating), Modin, Streamlit, and TruEra demonstrate its commitment to fostering data interoperability and innovation. Customers such as Illumina, Komodo Health, Medidata, and WHOOP have already benefited from the integration, reporting improvements in data management and the ability to generate actionable insights more efficiently. This announcement emphasizes Snowflake's strategic direction towards open standards and transparency in the data management space. It also reinforces the company's position as an advocate for the future of open source and data innovation, with a focus on enhancing customer capabilities in the AI-driven enterprise landscape. Recent market activity has pushed the stock into oversold territory, potentially presenting an opportunity as InvestingPro's Fair Value analysis suggests the stock may be undervalued. For detailed analysis and expert insights, access Snowflake's comprehensive Pro Research Report, available exclusively on InvestingPro, along with reports on 1,400+ other top US stocks. The information in this article is based on a press release statement from Snowflake Inc. In other recent news, Snowflake Inc. has been the focus of several analyst evaluations and updates. Citi has increased its price target for Snowflake to $235, citing strong fourth-quarter earnings and projecting a sustained 30% revenue growth with a free cash flow margin above 25%. Evercore ISI also maintains an optimistic view with an Outperform rating and a $230 price target, anticipating revenue growth acceleration by fiscal year 2026, driven by products like Snowpark and Cortex. Meanwhile, Truist Securities reiterated its Buy rating and a $210 price target, highlighting the company's intensified sales and R&D efforts under CEO Sridhar Ramaswamy's leadership. Macquarie initiated coverage on Snowflake with a Neutral rating and a $160 price target, acknowledging its disruptive role in the database management system market but expressing concerns over its ability to capitalize on generative AI opportunities compared to larger competitors. Evercore ISI emphasized Snowflake's potential to gain market share despite macroeconomic challenges, underscoring its strong customer base and strategic focus on data engineering and AI offerings. Analysts from various firms have noted Snowflake's commitment to innovation and its strategic positioning in the software industry. These recent developments reflect a mixed but generally positive outlook from analysts, who recognize Snowflake's strengths in product offerings and market positioning while also pointing out potential challenges in a competitive landscape.

Snowflake Unveils Apache Iceberg™ Innovations, Giving Enterprises The Best Of Op...

No-Headquarters/BOZEMAN, Mont. - April 8, 2025 - Snowflake (NYSE: SNOW), the AI Data Cloud company, announced that it is bringing its core capabilities -- unparalleled performance, secure data sharing, and data protection -- to Apache Iceberg™ tables1, one of the fastest-growing open table formats, empowering organisations 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 in order to build, scale, and share advanced insights and AI-powered apps faster. Until now, organisations have been forced to make tradeoffs when it comes to managing their data -- relying on integrated data platforms or opting for open, interoperable data formats like parquet. With Snowflake's full support for Apache Iceberg tables, customers now gain the best of both worlds. Users can store, manage, and analyse 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 of their data, and ultimately propel their AI strategies forward. "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: Snowflake is deeply invested in advocating for open standards and community-driven open source projects that enhance data interoperability and transparency. In fact, 35% of Snowflake's acquisitions over the last four years have been companies with technologies that strengthen open data ecosystems, underscoring the company's investment in openness. Notable open source projects that Snowflake contributes to include: Learn More: 1 "Apache" is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries. 2. For research use only. Not for use in diagnostic procedures. Note This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake's business strategy, (ii) Snowflake's products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake's products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading "Risk Factors" and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. © 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).