Snowflake Furthers Leadership as the Best Data Foundation for Enterprises
Customers now gain increased interoperability with open data, governed internal collaboration, and enhanced efficiency with new advancements to
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Customers now gain increased interoperability with open data, governed internal collaboration, and enhanced efficiency with new advancements to Snowflake’s leading platform. (Graphic: Business Wire)
“Snowflake is making customers’ data, models, and applications even more powerful by embracing open data and interoperability across the ecosystem, ensuring that all users benefit from Snowflake’s leading governance and discovery in the AI Data Cloud,” said
Bring Increased Interoperability with Open Data to the AI Data Cloud
The popular open table format Apache Iceberg has revolutionized how organizations access and drive value from their data. Snowflake is now making it even easier for customers to bring the platform’s ease of use, performance, governance, and collaboration to their Iceberg data stored externally with Iceberg Tables (now generally available), unlocking full storage interoperability.
Customers including
“Apache Iceberg’s large and diverse ecosystem of contributors and products made it a clear choice for us to provide an open and common data layer across our internal and external ecosystem,” said
Iceberg Tables comes on the heels of the recently announced Polaris Catalog, a vendor-neutral and fully open catalog implementation for Apache Iceberg. Polaris Catalog enables cross-engine interoperability, further providing organizations with new levels of choice, flexibility, and control over their data. Organizations can get started running Polaris Catalog hosted in Snowflake’s AI Data Cloud (Snowflake-hosted in public preview soon), or self-host it in their own infrastructure using containers.
The rise of AI has made every organization's enterprise data even more valuable. As such, organizations are left grappling with the rapid increase of data, large language models (LLMs), applications, and more spread out across various business units and teams. Snowflake is advancing Snowflake Horizon, Snowflake’s built-in governance and discovery solution that provides a unified set of compliance, security, privacy, interoperability, and access capabilities, to enable enterprises to protect their data products so that customers can take action on them — both for content internal to an organization, as well as sourced from third parties.
As a part of Snowflake Horizon’s new capabilities, the
Snowflake is also putting the power of AI to work so all users can quickly discover relevant content for their use cases. Universal Search (now generally available) allows customers to search the AI Data Cloud, spanning content in Snowflake storage, external Iceberg storage, and from third-party providers. Built on state-of-the-art search engine technology from Neeva (acquired by Snowflake in
“As a leading digital financial services company, it’s imperative we have a unified and well-governed data foundation for a holistic view across our approximately 11 million customers and their needs. Snowflake Horizon’s built-in governance, discovery, and protection capabilities ensure that we’re operating with the highest-degree of compliance, security, privacy, interoperability, and access,” said
Gain Faster Platform Performance, and Lower Operating Costs
With nearly every product release, Snowflake is committed to improving the performance and efficiency of its platform for customers. As a result, the Snowflake Performance Index (SPI), which measures the impact of Snowflake’s performance, reports that Snowflake has reduced organizations’ query duration across stable customer workloads by 27%1 since it started tracking this metric, and by 12%1 over the past 12 months. Snowflake is also making the loading of data faster, easier, and more cost effective. Customers now benefit from up to 25%2 performance improvements for loading JSON files and up to 50%2 improvements for loading Parquet files — without any action required from the customers’ end.
In addition to the 40+ currently supported cloud regions, Snowflake also announced that it is expanding the AI Data Cloud footprint to some highly regulated and sovereign markets globally. This includes an EU-only data boundary that keeps all customer data, alongside relevant service and usage data, within regional borders to provide European customers with stronger data residency and data sovereignty assurances to meet regional regulatory requirements. Furthermore, Snowflake will be offering a separate environment to
Continued Innovation at Snowflake Summit 2024
Snowflake also announced new advancements to Snowflake Cortex AI and Snowflake ML that unlock the next wave of enterprise AI for customers; new tools that accelerate how developers build in the AI Data Cloud; a new collaboration with NVIDIA that customers and partners can harness to build customized AI data applications in Snowflake; and more at Snowflake Summit 2024.
Learn More:
- Read more about how Snowflake’s best-in-class enterprise data foundation unlocks interoperability with open data and internal collaboration in this blog post.
- Get started with Iceberg Tables today using this quickstart guide.
- Dig into how you can use Snowflake Horizon to unlock more value in this ‘Definitive Guide for Governance in Snowflake.’
- Stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter / X.
1. Based on internal Snowflake data, query duration for customers’ stable workloads improved by 26% from
2. Measured between
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
© 2024
About Snowflake
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of 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).
View source version on businesswire.com: https://www.businesswire.com/news/home/20240604251194/en/
Senior Product PR Lead, Snowflake
press@snowflake.com
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