Customers now gain increased interoperability
with open data, governed internal collaboration, and enhanced
efficiency with new advancements to Snowflake’s leading
platform
Snowflake (NYSE: SNOW), the AI Data Cloud company, today
announced at its annual user conference, Snowflake Summit 2024,
advancements to its single, unified platform that empower thousands
of organizations with increased flexibility and interoperability
across their enterprise data — regardless of where it resides.
Snowflake is also making 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 gain increased performance and efficiency in the AI Data
Cloud.
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the full release here:
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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 Prasanna Krishnan, Head of Collaboration and Snowflake
Horizon, Snowflake. “We’re providing customers with new ways to
seamlessly access, understand, protect, and drive value with their
data at the speed and scale they need to be successful.”
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 Booking.com, Capital One,
Indeed, Komodo Health, and more are already leveraging
Iceberg Tables to implement open, flexible architectural patterns —
including data lakehouses, 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 increased flexibility and support over their open
data to drive value.
“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
Thomas Davey, Chief Data Officer, Booking.com. “With
Iceberg, we can broaden our use cases for Snowflake as our open
data lakehouse for machine learning, AI, business intelligence, and
geospatial analysis, even for data stored externally.”
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.
Create A Well-Governed Data Foundation to Accelerate AI and
Apps
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
Internal Marketplace (private preview) allows users to
curate and publish data products such as data, models, and
applications specifically for teams within their organization to
discover and use — while preventing unintended sharing to external
parties. In addition, teams can securely limit who within an
organization can see or access their content. Snowflake is further
extending its industry-leading collaboration capabilities to
include the sharing of AI models (private preview soon),
Iceberg Tables, and Dynamic Tables.
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 May 2023), users can use natural language to find and
seamlessly take action on the data products they need.
Additionally, to help aid with discovery and curation, Snowflake is
introducing new AI-Powered Object Descriptions (private
preview soon), which will automatically generate relevant context
and comments for tables and views.
“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 Scott Richardson, CIO of Enterprise Data,
Analytics & AI at Ally Financial. “Snowflake helps us
eliminate data silos for increased insights into every corner of
our organization and enhance 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.”
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 Department of Defense (DoD) customers that includes
a networking integration with Boundary Cloud Access Point (BCAP),
ensuring that Impact Level 4 (IL4) security controls are met.
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 August 25, 2022 to
April 30, 2024. To calculate SPI, we identify a group of customer
workloads that are stable and comparable in both amount of queries
and data processed over the period presented. Reduction in query
duration resulted from a combination of factors, including hardware
and software improvements and customer optimizations. 2. Measured
between August 25, 2022 and April 30, 2024.
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.
© 2024 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.
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).
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version on businesswire.com: https://www.businesswire.com/news/home/20240604251194/en/
Kaitlyn Hopkins Senior Product PR Lead, Snowflake
press@snowflake.com
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