SAN FRANCISCO, June 5, 2024 — Snowflake announced at its annual user conference, Snowflake Summit 2024advancements to its single, unified platform that enable thousands of organizations to benefit from increased flexibility and interoperability between their business data, regardless of location.
Snowflake also makes it easier for customers to discover and collaborate on the data, models and applications they need, when they need them, in addition to enhancing its powerful platform so users benefit from performance and increased efficiencies in AI Data Cloud.
“Snowflake makes customer data, models and applications even more powerful by embracing open data and interoperability across the ecosystem, ensuring all users benefit from industry-leading governance and discovery of Snowflake in the AI data cloud,” said collaboration lead Prasanna Krishnan. and Snowflake Horizon, Snowflake. “We’re offering our customers new ways to seamlessly access, understand, protect and deliver value with their data, at the speed and scale they need to succeed. »
Bring increased interoperability with open data to the AI data cloud
The popular open table format Apache Iceberg has revolutionized the way organizations access and derive value from their data. Snowflake now makes it even easier for customers to bring the platform’s ease of use, performance, governance and collaboration to their externally stored Iceberg data with Iceberg Tables (now available to everyone), unlocking full interoperability storage.
Customers such as Booking.com, Capital One, Indeed, Komodo Health and more are already using Iceberg Tables to implement open and flexible architectural models, including data lakes, data lakes and data meshes , to further simplify the development of pipelines, models, and more. With Iceberg Tables, organizations can work with their data on their terms, gaining greater flexibility and support on their open data to drive value.
“Apache Iceberg’s large and diverse ecosystem of contributors and products made it an obvious choice for us to provide an open, common data layer across our entire internal and external ecosystem,” said Thomas Davey, Director data at Booking.com. “With Iceberg, we can expand our use cases for Snowflake as an open data center for machine learning, AI, business intelligence and geospatial analytics, even for data stored externally. »
Iceberg Tables follows the recently announced Polaris Catalog, a neutral and fully open catalog implementation for Apache Iceberg. Polaris Catalog enables interoperability between engines, giving organizations new levels of choice, flexibility and control over their data. Organizations can start running the Polaris catalog hosted in Snowflake’s AI Data Cloud (soon to be hosted by Snowflake in public preview), or self-host it in their own infrastructure using containers.
Create a well-governed data foundation to accelerate AI and applications
The rise of AI has made every organization’s business data even more valuable. As such, organizations are faced with the rapid increase in data, large language models (LLMs), applications, etc., distributed across various business units and teams. The snowflake moves forward Snowflake HorizonSnowflake’s integrated 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 customers can take metrics about them, both for an organization’s internal content, as well as from third parties.
As part of Snowflake Horizon’s new features, the internal marketplace (private preview) allows users to organize and publish data products such as data, models, and applications specifically for teams in their organization to view. discover and use them, while preventing unintentional sharing with external parties. . Additionally, teams can securely limit who within an organization can see or access their content. Snowflake further expands its industry-leading collaboration capabilities to include sharing of AI models (coming soon to private preview), Iceberg tables, and dynamic tables.
Snowflake also leverages the power of AI so all users can quickly discover content relevant to their use cases. Universal Search (now available to everyone) allows customers to search AI Data Cloud, covering content from Snowflake storage, Iceberg external storage, and content from third-party providers. Built on Neeva’s industry-leading search engine technology (acquired by Snowflake in May 2023), users can use natural language to seamlessly find and act on the data products they need. Additionally, to make discovery and curation easier, Snowflake is introducing new AI-powered object descriptions (coming soon to private preview), which will automatically generate relevant context and comments for tables and views.
“As a leader in digital financial services, it is imperative that we have a unified, well-governed database to gain a holistic view of our nearly 11 million customers and their needs. Snowflake Horizon’s integrated governance, discovery and protection capabilities ensure we operate with the highest level of compliance, security, privacy, interoperability and access,” said Scott Richardson, CIO of Enterprise Data, Analytics & AI at Ally. Financial. “Snowflake helps us break down data silos to better understand every corner of our organization and improve collaboration – both internally and with customers and partners – so we can act on our Do It Right values and deliver exceptional experiences to our customers and employees. »
Benefit from faster platform performance and lower operating costs
With almost every product release, Snowflake commits to improving the performance and efficiency of its platform for its customers. Consequently, the Snowflake Performance Index (SPI), which measures Snowflake’s performance impact, reports that Snowflake has reduced organizations’ query times on stable client workloads by 27% since it began tracking this metric, and by 12%. 1 in the last 12 months. Snowflake also makes loading data faster, easier, and more cost-effective. Customers now experience up to a 25%2 performance improvement for loading JSON files and up to a 50% improvement for loading Parquet files, with no action required from the customer.
In addition to the more than 40 cloud regions currently supported, Snowflake also announced that it is expanding the AI Data Cloud footprint to select highly regulated and sovereign markets globally. This includes a European-only data border that keeps all customer data, as well as relevant service and usage data, within regional borders to provide European customers with stronger customer residency assurances. data and data sovereignty to meet regional regulatory requirements. Additionally, Snowflake will offer a separate environment for Department of Defense (DoD) customers, which will include network integration with Boundary Cloud Access Point (BCAP), ensuring compliance with Impact Level 4 (IL4) security controls .
About Snowflake
Snowflake makes enterprise AI simple, efficient and reliable. Thousands of companies around the world, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their businesses with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).
Source: Snowflake
