New innovations including Snowflake Notebooks,
Snowflake Trail, DevOps tools, and more accelerate end-to-end
development for builders, all from Snowflake’s unified platform
Snowflake (NYSE: SNOW), the AI Data Cloud company, today
announced at its annual user conference, Snowflake Summit 2024, new
tools and innovations that accelerate how developers build
enterprise-grade pipelines, models, and applications with their
data. Snowflake is furthering its mission of eliminating complexity
for customers with new developer tooling and native integrations
that speed up development, while empowering them to efficiently
ship more advanced products in the AI Data Cloud.
This press release features multimedia. View
the full release here:
https://www.businesswire.com/news/home/20240604858708/en/
New innovations including Snowflake
Notebooks, Snowflake Trail, DevOps tools, and more accelerate
end-to-end development for builders, all from Snowflake’s unified
platform (Graphic: Business Wire)
“Thousands of developers around the globe already rely on
Snowflake as their go-to development platform. Our latest
innovations continue to push the boundaries of what builders can
create in the AI Data Cloud, bringing familiar, yet powerful
experiences to their enterprise data where it already lives,” said
Jeff Hollan, Head of Applications and Developer Platform,
Snowflake. “Developers can harness the full breadth of Snowflake’s
leading scale, performance, and governance to easily deliver large
language model-powered applications that unlock value, ultimately
putting AI in the hands of more users.”
Harness Snowflake’s Speed and Simplicity to Advance AI
Development
Developers are regularly looking for ways to shorten the time
from prototype to deployment, with Snowflake quickly becoming the
platform for builders to create powerful data products. By
harnessing the combination of Dynamic Tables and Snowpipe
Streaming, users can unlock low-latency transformation pipelines to
fuel AI and machine learning (ML) model development, all within the
AI Data Cloud. Over 2,900 customers today are already running more
than 200,000 Dynamic Tables1 to build and manage
production-grade data pipelines, and that number continues to
grow.
Snowflake is now arming developers with even more ways to
accelerate their AI development directly on their data in the AI
Data Cloud with Snowflake Notebooks (now public preview)
natively integrated with the full breadth of the Snowflake platform
including Snowpark ML, Streamlit, and Snowflake Cortex AI.
Snowflake Notebooks provides a single, easy-to-use development
interface for Python, SQL, and Markdown. Developers can also
leverage Snowflake Notebooks to experiment and iterate on their ML
pipelines, harness AI-powered editing features, simplify data
engineering workflows, and more to unlock increased productivity
and collaborative development.
“With Snowflake Notebooks, we can easily integrate our
experiment tracking with Weights & Biases directly within
notebooks,” said Lukas Biewald, Co-founder and CEO, Weights
& Biases. “Centralized, secure access to Snowflake data and
compute lets you run data engineering and analysis alongside ML
modeling in a notebook-style format that’s familiar, intuitive, and
powerful. We’re excited to see how our customers use it to run
experiments faster.”
Snowflake is also adding a Snowpark pandas API
(now public preview), enabling Python developers to work with the
same pandas syntax they know and love for even more advanced AI and
pipeline development, while benefiting from Snowflake’s
performance, scale, and governance for execution.
Unlock Declarative Development with New DevOps and
Observability Capabilities
Snowflake is further delivering developer simplicity with a
truly data-centric approach to DevOps, seamlessly integrating
development, operations, and data management within a single
platform. By defining the desired state of their data pipelines
with infrastructure-as-code principles, rather than scripting
complex workflows line by line, Snowflake is prioritizing a
declarative approach to development with the new Database Change
Management (now public preview) feature. In addition, data
engineers and developers can now use Snowflake’s new Git
integration (now public preview) to enhance development
collaboration across teams and streamline deployments across
different environments, leverage Snowflake's Python API
(generally available soon) to efficiently manage resources, use the
open source Snowflake CLI (generally available soon) as a
single interface to manage CI/CD pipelines, and more.
Snowflake is also unveiling Snowflake Trail, a rich set
of observability capabilities that provide enhanced visibility into
data quality, pipelines, and applications, empowering developers to
monitor, troubleshoot, and optimize their workflows with ease.
Snowflake is providing built-in telemetry signals for Snowpark and
Snowpark Container Services, enabling users to easily diagnose and
debug errors using metrics, logs, and distributed tracing — without
having to manually set up agents or transfer data. Additionally,
Snowflake Trail is built with OpenTelemetry standards so developers
can integrate with popular observability and alert platforms
including Datadog, Grafana, Metaplane,
PagerDuty, Slack, and more, in addition to working
natively in Snowsight. Snowflake also partners with observability
platforms such as Monte Carlo and Observe to provide
end-to-end observability to customers.
Productize AI-Powered Apps, and Build Your Business Faster in
the AI Data Cloud
According to a recent IDC survey2, AI Applications is
currently the largest category of AI software, accounting for
roughly one half of the market’s overall revenue in 2023. To help
businesses further build and deliver these sophisticated
applications, Snowflake is announcing the Snowflake Native App
Framework integration with Snowpark Container Services
(now public preview on AWS). The integration enables organizations
to extend the breadth and variety of applications they build in the
AI Data Cloud using configurable GPU and CPU instances to fit a
range of use cases spanning computer vision automation, geospatial
data analysis, ML applications for enterprises, and more.
Application developers can build their AI-powered Snowflake
Native Apps once, and then deploy and distribute them across clouds
and regions to thousands of Snowflake customers through Snowflake
Marketplace, with over 160 total Snowflake Native Apps3
already available today. Many of the world’s largest organizations
rely on Snowflake Marketplace as their distribution platform for
unlocking entirely new revenue streams, distributing their
Snowflake Native Apps, and accelerating monetization and
procurement of those apps. In addition, hundreds of startups are
choosing to build their entire businesses on Snowflake, with a
handful of providers including Maxa, My Data Outlet, and
RelationalAI earning millions from their apps by
distributing them on Snowflake Marketplace.
“Since releasing our Snowflake Native App built with Snowpark
Container Services, we have seen a fivefold increase in customer
interest and our sales process has become much more streamlined,”
says Molham Aref, Founder and CEO of RelationalAI. “What
used to take several months with architecture, security, and
procurement reviews, now takes mere days, and the ability to
monetize our Snowflake Native App on Snowflake’s platform through
the Marketplace Capacity Drawdown program will further accelerate
our customer engagements. Our partnership with Snowflake is
providing incredible customer value and enables organizations like
Cash App to gain important insights from their data in ways that
were not possible before.”
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 innovations to its single, unified platform that
provide thousands of organizations with increased flexibility and
interoperability across their data; a new collaboration with NVIDIA
that customers and partners can harness to build customized AI data
applications in Snowflake; the Polaris Catalog, a vendor-neutral,
fully open catalog implementation for Apache Iceberg; and more at
Snowflake Summit 2024.
Learn More:
- Read more about how developers are building data pipelines,
applications, and ML models in this blog post.
- Learn how Snowflake is expanding the types of applications that
can be built, deployed, and distributed in the AI Data Cloud in
this blog post.
- Stay on top of the latest news and announcements from Snowflake
on LinkedIn and Twitter / X.
1. Seven day average as of April 30, 2024. 2. IDC report,
Worldwide Artificial Intelligence Software Forecast, 2023–2027 (IDC
#US50027023). 3. As of 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).
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240604858708/en/
Media Contacts: Kaitlyn Hopkins Senior Product PR Lead,
Snowflake press@snowflake.com
Snowflake (NYSE:SNOW)
Historical Stock Chart
Von Mai 2024 bis Jun 2024
Snowflake (NYSE:SNOW)
Historical Stock Chart
Von Jun 2023 bis Jun 2024
