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CX Intelligence23 Jun 2021 · 1 min read

Sisense Teams up with Snowflake

Sisense, a leading AI-driven platform for infusing analytics everywhere, announced that it is partnering with Snowflake, the Data Cloud company, in addition ...

Sisense Teams up with Snowflake

Sisense, a leading AI-driven platform for infusing analytics everywhere, announced that it is partnering with Snowflake, the Data Cloud company, in addition to achieving premier Status in the Snowflake Partner Connect Programme with its optimised real-time live connector.

Originally launched in 2020, Sisense’s optimised connector is now certified on Snowflake’s platform. The connector gives customers the ability to join, clean, and create data with code-free and code-first editors that write directly back to the Snowflake platform for a democratised use.

Sisense and Snowflake both have highly available and scalable cloud native architectures that are deployed cross-cloud. Both meet and exceed complex data demands across an increasingly common customer base.

Users can create embedded actionable insights regardless of location, within their apps and workflows, leveraging Sisense’s broad API set and advanced analytics capabilities. Sisense Fusion Embed is the API-first analytics platform that delivers fully white-labeled and customised analytic experiences into customer applications and workflows at scale. The platform goes beyond the dashboard to seamlessly infuse AI-powered intelligence into products.

Colleen Kapase, vice president of global alliances at Snowflake said:

“We are excited to certify Sisense as a Premier partner and feel proud of the combination that the Snowflake and Sisense technologies offer that powers our customers’ analytical applications.”

“Having Sisense be a part of our Snowflake Partner Connect Program truly enhances our partner ecosystem for the better.”

Sisense participated in the beta of Snowflake’s Snowpark developer experience. The data teams have the opportunity to leverage custom SQL to execute existing Java UDFs that are in Snowflake. This enhances the way the teams are able to connect directly to the Snowflake data warehouse through Sisense to flexibly prepare, query, and manage structure and semi-structured data within Snowflake.

 

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