- Snowflake Openflow simplifies
the process of getting data from where it is created to
where it can be used - Snowflake
Standard Warehouse – Generation 2 and
Snowflake Adaptive Compute deliver faster
analytics performance to accelerate customer insights,
without driving up costs - Snowflake
Intelligence allows business users to harness AI
data agents to analyse, understand, and act on structured
and unstructured data - Snowflake
Cortex AISQL embeds generative AI directly into
customers’ queries, empowering teams to analyse all types
of data and build flexible AI pipelines with familiar SQL
syntax - With Cortex Knowledge
Extensions, enterprises can enrich their AI apps
and agents with real-time news and content from trusted
third-party providers
Snowflake (NYSE:
SNOW), the AI Data Cloud company, today announced several
product innovations at its annual user conference, Snowflake
Summit 2025, designed to revolutionise how
enterprises manage, analyse, and activate their data in the
AI era. These announcements span data engineering, compute
performance, analytics, and agentic AI capabilities, all
aimed at helping organisations break down data silos and
bridge the gap between enterprise data and business action
— without sacrificing control, simplicity, or
governance.
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“Today’s announcements underscore the
rapid pace of innovation at Snowflake in our drive to
empower every enterprise to unlock its full potential
through data and AI,” said Theo Hourmouzis, Senior
Vice President, ANZ and ASEAN, Snowflake.
“Organisations across A/NZ are looking to take
their AI projects to the next level – from testing, to
production, to ultimately providing business value.
Today’s innovations are focused on providing them with the
easiest, most connected, and most trusted data platform to
do so.”
Snowflake Openflow Unlocks Full Data
Interoperability, Accelerating Data Movement for AI
Innovation
Snowflake unveiled Snowflake
Openflow, a multi-modal data ingestion service
that allows users to connect to virtually any data source
and drive value from any data architecture. Now generally
available on AWS, Openflow eliminates fragmented data stacks
and manual labor by unifying various types of data and
formats, enabling customers to rapidly deploy AI-powered
innovations.
Snowflake Openflow embraces open
standards, so organisations can bring data integrations into
a single, unified platform without vendor lock-in and with
full support for architecture interoperability. Powered by
Apache
NiFi™[1],
an Apache Software Foundation project built to automate the
flow of data between systems, Snowflake Openflow enables
data engineers to build custom connectors in minutes and run
them seamlessly on Snowflake’s managed
platform.
With Snowflake Openflow, users can harness
their data across the entire end-to-end data lifecycle,
while adapting to evolving data standards and business
demands. Hundreds of ready-to-use connectors and processors
simplify and rapidly accelerate data integration from a
broad range of data sources including Box, Google Ads,
Microsoft Dataverse, Microsoft SharePoint, Oracle,
Proofpoint, ServiceNow, Workday, Zendesk, and
more, to a wide array of destinations including cloud
object stores and messaging platforms, not just
Snowflake.
Snowflake Unveils Next Wave of
Compute Innovations For Faster, More Efficient Warehouses
and AI-Driven Data Governance
Snowflake
announced the next evolution of compute innovations that
deliver faster performance, enhanced usability, and stronger
price-performance value — raising the bar for modern data
infrastructure. This includes Standard
Warehouse – Generation 2 (Gen2) (now
generally available), an enhanced version of Snowflake’s
virtual Standard Warehouse with next-generation hardware and
additional enhancements to deliver 2.1x[2]
faster analytics performance and 1.9x faster analytics
performance than Managed Spark.
Snowflake also
introduced Snowflake
Adaptive Compute (now in private preview), a
new compute service that lowers the burden of resource
management by maximising efficiency through automatic
resource sizing and sharing. Warehouses created using
Adaptive Compute, known as Adaptive
Warehouses, accelerate performance for users
without driving up costs, ultimately redefining data
management in the evolving AI
landscape.
Snowflake Intelligence and Data
Science Agent Deliver The Next Frontier of Data Agents for
Enterprise AI and ML
Snowflake announced
Snowflake Intelligence (public preview
soon), which enables technical and non-technical users alike
to ask natural language questions and instantly uncover
actionable insights from both structured tables and
unstructured documents. Snowflake Intelligence is powered by
state-of-the-art large language models from Anthropic and
OpenAI, running inside the secure Snowflake perimeter, and
is powered by Cortex Agents (public
preview) under the hood — all delivered through an
intuitive, no-code interface that helps provide transparency
and explainability.
Snowflake also unveiled
Data Science Agent (private preview soon),
an agentic companion that boosts data scientists’
productivity by automating routine ML model development
tasks. Data Science Agent uses Anthropic’s Claude to break
down problems associated with ML workflows into distinct
steps, such as data analysis, data preparation, feature
engineering, and training.
Today, over 5,200[3]
customers from companies like BlackRock,
Luminate, and Penske
Logistics are using Snowflake Cortex AI to
transform their businesses.
Snowflake
Introduces Cortex AISQL and SnowConvert AI: Analytics
Rebuilt for the AI Era
Snowflake announced
major innovations that expand on Snowflake
Cortex AI, Snowflake’s suite of
enterprise-grade AI capabilities, empowering global
organisations to modernise their data analytics for
today’s AI landscape. This includes SnowConvert
AI, an agentic automation solution that
accelerates migrations from legacy platforms to Snowflake.
With SnowConvert AI, data professionals can modernise their
data infrastructure faster, more cost-effectively, and with
less manual effort.
Once data lands in Snowflake, Cortex
AISQL (now in public preview) then brings
generative AI directly into customers’ query engines,
enabling teams to extract insights across multi-modal data
and build flexible AI pipelines using SQL — all while
providing bestinclass performance and cost
efficiency.
Snowflake Marketplace Adds Agentic
Products and AI-Ready Data from Leading News, Research, and
Market Data Providers
Snowflake announced new
agentic products on Snowflake Marketplace that accelerate
agentic AI adoption across the enterprise. This
includes Cortex Knowledge Extensions
(generally available soon) on Snowflake
Marketplace, which enables enterprises to enrich their
AI apps and agents with proprietary unstructured data from
third-party providers — all while allowing providers to
protect their intellectual property and ensure proper
attribution. Users can tap into a selection of business
articles and content from The Associated
Press, which will help users further enhance the
usefulness of results in their AI systems.
In
addition, Snowflake unveiled sharing of Semantic
Models (now in private preview), which allows users
to easily integrate AI-ready structured data within their
Snowflake Cortex AI apps and agents — both from internal
teams or third-party providers like CARTO, CB Insights,
Cotality™ powered by Bobsled, Deutsche Börse, IPinfo, and
truestar.
Learn More:
- Check out all the
innovations and announcements coming out of Snowflake Summit
2025 on Snowflake’s
Newsroom. - Stay on top of the latest news and
announcements from Snowflake on LinkedIn
and X, and
follow along at #SnowflakeSummit.
About
Snowflake
Snowflake is the platform for the AI
era, making it easy for enterprises to innovate faster and
get more value from data. More than 11,000 companies around
the globe, including hundreds of the world’s largest, use
Snowflake’s AI Data Cloud to build, use, and share data,
apps and AI. With Snowflake, data and AI are transformative
for everyone. Learn more at snowflake.com
(NYSE:
SNOW).