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Snowflake

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Sisense empowers builders and data teams to turn data in the Snowflake AI Data Cloud into customer-facing analytics and AI-powered experiences. Teams can connect directly to Snowflake to flexibly prepare, query, and manage data using both code and a web-based, visual data modeling experience.

Organizations harness the power and scalability of Snowflake using Sisense’s data pipelines and live and cached data models. Together, Sisense and Snowflake help teams deliver governed analytics and AI experiences directly inside the applications and workflows their users already use.

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Sisense & Snowflake for embedded analytics and AI

  • Securely and easily access data stored within Snowflake
  • Build cloud data pipelines and perform advanced analytics using SQL, Python and R
  • Deliver interactive, self-service analytics and AI-powered experiences grounded in governed data
  • Embed, extend, and customize analytics and AI experiences using APIs, SDKs, and Compose SDK

Sisense’s architecture is built for Snowflake

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Critical Features of our Partnership

Embed analytics and AI into your apps

Sisense + Snowflake gives builders the tools to create customer-facing analytics and AI experiences on governed Snowflake data, without building the analytics layer from scratch.

Data pipelines and advanced analytics

Sisense provides teams with the ability to build data pipelines with Snowflake and perform advanced analysis using languages they already know like SQL, Python, and R.

Connecting live to Snowflake

Sisense connects directly to Snowflake using a certified connector, giving teams flexible access to data for exploration, analytics, and embedded AI experiences.

With Snowflake and Sisense for Data Teams, we are able to answer more complex and valuable questions, putting together and analyzing data in ways not possible using other tool combinations. We have big ambitions in the DevOps space. We need partners that can keep up, and it’s clear that Sisense for Cloud Data Teams and Snowflake can.

- Emilie Schario, GitLab Data Engineer and Sisense for Cloud Data Teams Power User
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