Venture Capital

Sigma Computing Scores $300 Million

SAN FRANCISCO — Sigma Computing, a provider of cloud analytics and business intelligence (BI), has raised $300 million in Series C financing. D1 Capital Partners and XN co-led the round with returning investors Sutter Hill Ventures and Altimeter Capital, and an investment from Snowflake Ventures.

Sigma Computing has now raised $381.3 million to help business and technical users analyze data securely and at scale with the simplicity of a spreadsheet interface.

The company is one of the first to be purpose-built for Snowflake and is an Elite partner of Snowflake. Customers such as US Foods, Blackstone, Athenahealth, and others have implemented its platform “Workbooks” to respond to customers quickly, approve transactions, increase supply chain efficiency and more.

“Sigma has allowed us to understand what’s possible as we unlock the true potential of our data,” said US Foods VP of Analytics & Data Science Chuck Sample. “As a leading foodservice distributor, partnering with approximately 300,000 restaurants and foodservice operators, being able to quickly manage service levels across our customer base is fundamental to meeting our client obligations. With Sigma, we have been able to significantly reduce the time it takes to garner insights on the fly while allowing both the business and BI teams to function at a higher level.”

“The delta between an enterprise’s performance and its potential is the speed and accuracy of the decisions it makes across its organization,” said Sigma Computing CEO Mike Palmer. “We are erasing that delta for competitive companies that want to arm their departments — from operations, finance, marketing and beyond — with the data they need to make decisions quickly and without frustrating delays and dependencies.”

Sigma was founded in 2014 to meet the needs of analysts who work with spreadsheets and want to use data in Snowflake, thus removing the technical hurdles of developing on visualization tools in SQL to run specific big data queries. Today, Sigma provides a unified collaborative canvas that combines spreadsheets, charts, and narratives, keeping all data projects synchronized in a single, self-contained platform for easy collaboration across an organization. Sigma’s tools allow users to drill down into data anywhere on a dashboard and calculate any inquiry against billions of rows of live data with no coding required. The company’s highly responsive UX also allows cross-functional teams to directly conduct ad hoc analytics for the most granular-level insights in milliseconds instead of hours. With Sigma, users can find immediate answers to their data questions without going through their BI team, and can embed Workbooks to easily share with authorized users.

“We founded Sigma with the promise of removing the timely and costly bottleneck that came with having to work in code to actually leverage large data warehouses for business intelligence,” said Sigma Computing CTO and Co-Founder Rob Woollen. “Overcoming these technical challenges with accessible no-code Workbooks met that promise, easing processes for large organizations and allowing decision-makers to pull insights directly in real-time while also making this technology accessible and scalable for anyone to use.”

“Sigma is enabling organizations to be truly data-driven by putting the power of cloud data analytics directly into the hands of business users. We are excited to partner with Sigma as it builds the next-generation business intelligence platform,” said D1 Capital Partners Founder and Chief Investment Officer Dan Sundheim.

“Sigma has solved a very hard technical problem, creating the first cloud-native data analytics platform accessible to any business user. Customers rave about Sigma’s ease of use, scalability, and the productivity gains it unlocks by enabling data-driven decision-making across departments,” said XN Founder Gaurav Kapadia. “We are excited to help lead this round of investment and support Sigma as they rapidly scale and democratize data analytics for organizations of all sizes.”