Dataiku Introduces Integration With Snowflake to Enable Support for Advanced Data Functions
PR90029
NEW YORK, June 10, 2021 /PRNewswire=KYODO JBN/ --
- Dataiku also announces participation in Snowpark, a new developer experience
from Snowflake
Dataiku( https://www.dataiku.com/ ), the world's most advanced Enterprise AI
platform, today announced an integration with Snowflake's(
https://www.snowflake.com/ ) Snowpark and Java user defined functions (UDFs), a
new developer experience for Snowflake, following the announcement of both at
Snowflake Summit. By adding support for Java user defined functions (UDFs) now
supported by Snowflake, Dataiku continues to lead in push down computation;
with Snowpark, Snowflake and Dataiku will enable data engineers, data
scientists, and developers who prefer other languages to take advantage of
Snowflake's powerful platform capabilities and the benefits of Snowflake's Data
Cloud.
With the Java UDF integration, Dataiku users can now take better advantage of
Snowflake for more operations –– visual data preparation users can now push
down the computation of more visual recipes to the Snowflake engine, and
scoring can also take place directly in Snowflake. Both areas can then take
advantage of the elastic scale of Snowflake, so organizations can operate on
larger datasets, work faster, and only pay for what they need. Pushdown also
minimizes data movement so data stays in Snowflake, which enhances data
security and relieves compliance concerns. With Snowpark, users will also see
an increase in functionality and more access for developers — so that more
developers in the enterprise can build services to interact with Snowflake
services, while making the most of Dataiku's platform for advanced analytics at
scale.
"Dataiku was designed to natively leverage the compute power of data platforms.
The release of Snowflake's Snowpark & Java UDFs allows us to expand our
existing pushdown support from SQL to more advanced functions in both data
preparation and predictive scoring directly in Snowflake. This gives our users
the ability to optimize the processing of their AI applications in Snowflake,"
said JC Raveneau, Senior Director, Product Management at Dataiku.
"Snowflake is known for its performance, scalability, and concurrency. Before
Snowpark and Java UDFs, interaction with Snowflake was mostly through SQL,"
said Isaac Kunen, Senior Product Manager at Snowflake. "These features enable
customers to create and manage more workflows entirely within Snowflake's Data
Cloud, without the need for additional processing systems — advancing
Snowflake's mission to mobilize the world's data, and giving more users the
ability to achieve powerful data insights with Snowflake's Data Cloud.
Partnering with Dataiku, a company that shares this vision to democratize data
insights, will benefit joint customers with accessible and integrated analytics
solutions."
Snowpark and Java UDF are in preview for Snowflake customers and will be
available for public preview very soon.
About Dataiku
Dataiku( https://www.dataiku.com/ ) is the world's leading AI and machine
learning platform, supporting agility in organizations' data efforts via
collaborative, elastic, and responsible AI, all at enterprise scale. Hundreds
of companies use Dataiku to underpin their essential business operations and
ensure they stay relevant in a changing world, including models driving fraud
detection, customer churn prevention, predictive maintenance, supply chain
optimization, and much more. Dataiku is built for companies looking to
democratize AI across their organization, bringing agility and preparedness to
the business through the use of data by everyone from analysts to data
scientists.
SOURCE Dataiku
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