More than Spreadsheets

Mode vs. Sigma

Today’s marketplace requires truly modern business intelligence tools that prioritize a user-first choice of analysis including SQL, Python, and R Notebook workflows for everyday analysts in addition to robust visualizations for every team and business user—and all in one place.

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One unified platform for everyone

Mode is the only platform that includes starting point options for anyone. Whether it be ad hoc analysis, advanced analytics, custom data apps, interactive dashboards or self-service reporting, Mode’s multi-modal UI empowers collaboration between data analysts and business users alike.

Sigma’s is designed to be a spreadsheet-first point solution. Sigma comes with the time-intensive tax of constantly switching tools to get the work done.

Visual thinkers welcome

Drag-and-drop your way through governed datasets and metrics, iterating through as many visualizations as you need to understand your data and find that aha moment.

Simple charts

Spin up bar and line graphs, pie charts, pivot tables, and more in seconds.

Multi-faceted, multi-dimensional

Building complex charts is possible with drag-and-drop charting visual analysis that is anything but basic.

Endless iteration

Visualize your data, then quickly iterate through as many versions of the chart you need to get your point across.

Put it all together

Start with your trusted data, build your visualizations, then share your
insights across your organization by building your own one-off report
or always-on dashboard with the most relevant data to your team.

Text write-ups

Don't just share the charts. Give them context with a quick explanation.

Plenty of charts

Add as many visualizations as you need to monitor your metrics or share your insights.

Automatic refresh

Reports built on datasets are automatically refreshed based on the dataset schedule.

Schedule and share

Schedule once, and don't think twice about automated sharing of your reports over Slack or email.

Always accurate

Reports powered by dbt metrics are 100% accurate, 100% of the time.

Automatically updated

Reports built on curated data sources like datasets and dbt metrics will automatically be updated when any foundational data changes.

A solution that scales

Mode brings the most important technical workflows together so you can extract data with SQL, analyze it in Python and R, visualize results with rich dashboards, and share a range of analytical assets. Additionally, Mode’s in memory data engine Helix is built to cache large datasets in the browser so users can filter, visualize, aggregate, and explore the data without hitting the warehouse every time, allowing you to save money and scale.

Sigma directly pulls data from customers’ cloud data warehouse, so every time someone opens a workbook in Sigma, they are directly hitting their warehouse— costs will increase as you scale.

Powerful visualizations for everyone

With Mode, business users also can explore deeply with powerful drag and drop visualizations, simple charts, Notebook-powered visualizations, and also custom HTML graphs–all from a governed environment via parameters and filters.

Sigma's lack of visualizations and options to programmatically create visualizations slows users down, and makes sharing insights difficult. The ceiling for impactful analysis is higher for both business users and analysts with Mode.

A category leader


ease of use


ease of admin




collaboration and workflow

Mode is modern BI that puts data teams at the center

Data tools for everyone

Fast, easy set up

Iterative ad hoc analysis

Integrated Python & R Notebooks

Advanced analytics

Custom data applications

Explorable dashboards

Robust, flexible visualizations

Self-serve reporting

Centralized data hub

Share with your team how Mode compares to Sigma with this one-page overview

Mode for Early-Stage Startups

If you’re an early-stage organization ready to grow with analytics that scale with you, check out our program where you can get all of Mode at a fraction of the price.

Get more from your data

Your team can be up and running in 30 minutes or less.