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Sigma and Snowflake are mobilizing the world’s data together.

Connect Snowflake’s Data Cloud and start exploring in seconds

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Elite Technology partnerIndustry Competency in technologyIndustry Competency in health care and life scienceIndustry Competency in retail and CPGIndustry Competency in financial servicesIndustry Competency in media
Elite Technology partnerIndustry Competency in technologyIndustry Competency in health care and life scienceIndustry Competency in retail and CPGIndustry Competency in financial servicesIndustry Competency in media

BI Partner of the Year

We’re thrilled to announce that we just hit our biggest milestone yet: Snowflake Business Intelligence Partner of the Year 2023.
‍

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Sigma on Snowpark

Bridging the gap between Data Science and Business teams.

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Explore, analyze, and report on massive live datasets with Sigma on Snowflake

Why Sigma on Snowflake?

As an Elite Technology Partner, Sigma connects to Snowflake’s Data Cloud in seconds providing a spreadsheet-like user interface for exploratory analytics. Enabling data teams and business analysts to align around a common language to iterate and build data products faster.Title of Ref Arch: Connect to your data warehouse in seconds and start exploring, analyzing, and reporting on massive live datasets with Sigma

Data Warehouse

Sigma removes bottle neck between data teams and business users by empowering non-technical users to explore and iterate on live data without having to redefine dashboard schema or pre-define drill paths.

Data Application

Sigma helps customers accelerate time to production & reduce costs associated with launching scalable embedded applications.

Data Sharing

Sigma can help Snowflake users share data internally and externally to instantly leverage raw data and drill down into granular data tables.

Data Engineering

Validate data models visually, and collaborate easier with business stakeholder input. Sigma takes advantage of Snowflake’s native JSON support and eliminates the need for any coding.

As one of the early companies purpose-built natively on Snowflake, Sigma is set up to take full advantage of the Data Cloud and its unique network effect. Together we are furthering our mission of enabling every organization to be data-driven.

Stefan Williams
Snowflake Ventures Head of Corporate Development

Solutions for Industry

Retail + CPG

Ease-of-use, scalability, and performance enable Retail & CPG data teams and business analysts to align around a common language to solve their use cases.

Retail + CPG Use Cases
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Whatnot Customer Case Study

Financial Services

Manage Complexity & Risk at Scale

Financial Services Use Cases
Press Release
‍
Webinar: How iPipeline Leverages Sigma to Enable Data Sharing and Self-Service Analytics
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Webinar: Modernizing Risk Analytics with Sigma on Snowflake

Manage Complexity & Risk at Scale

Telecom

Sigma + Snowflake: Cloud-Native analytics for modern telecommunications

Sigma is a Snowflake Data Cloud Telecom Launch Partner
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Sigma + Snowflake Partner Brief

Health Care & Life Sciences

Empowering Healthcare & Life Sciences Data Teams

Sigma + Snowflake Partner Brief
‍
Health Care and Life Sciences Use Cases
Press Release

Additional Resources

Snowpark and Sigma Open Machine Learning to Business Teams

Data science models built in Snowflake are now available to the business user through Sigma's BI interface.

Read more

The Potential of Predictive ML Models in Sigma

Here’s what happened when we combined the machine learning models of Snowflake with the flexibility and cloud-nativeness of Sigma. Spoiler alert: Amazing things are suddenly possible.

Read more

Snowpark UDF's with Python and Sigma

Follow along with our tutorials and step-by-step walkthroughs to get you up and running with the Sigma

Read more

Build Customer Facing Applications Using Sigma and Snowflake

Follow along with our tutorials and step-by-step walkthroughs to get you up and running with the Sigma

Read more

We are Sigma.

Sigma is a cloud-native analytics platform that uses a familiar spreadsheet interface to give business users instant access to explore and get insights from their cloud data warehouse. It requires no code or special training to explore billions of rows, augment with new data, or perform “what if” analysis on all data in real⁠-⁠time.

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