- 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