Where business works with data

Whether you spreadsheet or SQL—teams explore, analyze, & decide with data in Sigma.

Work with billions of rows of data quickly & easily

Work with billions of rows of data quickly & easily

Connect to your data and start exploring in seconds

Connect to your data and start exploring in seconds

If you can spreadsheet, you can Sigma

If you can spreadsheet, you can Sigma

Explore all the data, not just roll-ups and summaries

Explore all the data, not just roll-ups and summaries

DoorDash logo
Party City
Conagra Brands
REI Co-op
Philz Coffee
Veronica Beard
Cowen uses Sigma
DoorDash logo
Party City
Conagra Brands
REI Co-op
Philz Coffee
Veronica Beard
Cowen uses Sigma

What makes Sigma different from other BI and analytics tools?

Sigma is built for a world of easy collaboration, massive cloud data, fast decision-making, and business user self-service.

Get Instant Value from Your Data

Sigma connects to your data warehouse in minutes so you can immediately start analyzing. No extra steps are needed.

You Already Know How to Sigma

If you can spreadsheet, you can Sigma. Work with billions of rows without special training.

Use All The Data for Analysis

Drill down to the smallest detail by default. Follow the investigation wherever it takes you.

Sigma is Made for Business and Data Teams of All Sizes

Whether you’re just starting out or you’re well down the path, Sigma is the fastest, easiest way to work with cloud data.

The problem

You're a small team, just getting started.

Your Objectives

  • Get started fast!

  • No need to learn special tools or to write code to get started.

  • Ensure that your
    analytics can scale as
    your needs grow.

How Sigma Helps

  • Sigma connects to your cloud data warehouse in seconds so you can start analyzing immediately.

  • With Sigma, you don’t need special training to start analyzing data because we use an interface you already know — the spreadsheet.

  • Sigma is built for massive scale using the storage and power in your cloud data warehouse. Go from start-up to billions of rows with ease.

Product features
Discover how Teachable used Sigma's cloud and BI capabilities to achieve their goals
  • 70% Reduction in ad hoc requests

  • 5X Increase in analytics adoption

Read case study

The problem

Your organization needs better, faster insights from data.

Your Objectives

  • Make decisions based on all your data.

  • Reduce reliance on others for your analysis.

  • Accelerate the time from new need to data insight.

How Sigma Helps

  • Sigma uses all the data in your data warehouse — not subsets or roll-ups — so your decisions are based on 100% of your data.

  • From creating new metrics to building new workbooks, Sigma is designed for ease of use for business teams.

  • Sigma is built for exploration. You can drill down, across, and anywhere you need. You’re not constrained to what’s been pre-built, like with other tools.

Product features
Cowen creates finance reports 6x faster with Sigma
  • 6X Faster finance report creation

  • 5 Billion Row datasets analyzed without extracts

Read case study

The problem

You want analytics for everyone, not just the experts.

Your Objectives

  • Get everyone, not just the data team, using data.

  • Adapt to changes in the business quickly.

How Sigma Helps

  • Sigma has >90% adoption due to its ease of use, powerful exploration of all the data, and familiar interface.

  • Sigma lets analysts and business users create visually, prototyping in seconds what would otherwise take weeks.

  • Sigma users can answer new questions instantly without the need to re-model or build drill paths.

Product features
Chart showing weekly year-over-year sales, broken down by Store and Region
  • 25% Improvement in operational efficiency

  • 10X Faster product issue identification and resolution

Read case study

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 or rows, augment with new data, or perform “what if” analysis on all data in real⁠-⁠time.