See how Sigma compares

“A lot of our users are Excel power users, and spreadsheets are deeply embedded in how our company operates. Giving people an interface that looks and feels familiar has made it much easier to bring them onto the platform. It lowers the barrier to adoption while also helping us move away from manual, spreadsheet-driven processes.”

“A spreadsheet-style interface on live warehouse data. People who think in Excel become builders quickly, and ad hoc questions get answered against current data without extracts.”

“Created for those with SQL, Python, & Excel knowledge. Allows for transferring those skills directly over to the platform without learning some domain-specific modelling language (LookML, DAX, M, etc.)”

“Simplicity for non-data nerds and non-SQL heavy users. Our team includes people who don't know SQL but are strong Gsheets/excel users, and Sigma unlocks their ability to run large ad hoc analyses that wouldn't be possible in spreadsheets alone.”

“A lot of our end-users export data into gsheets or excel. While some of that still happens, Sigma's Excel-like interface meets users where they're at by enabling the use of Excel-like calculations. This increases usage and keeps data in one place.”

“I like that with Sigma, my data is directly linked which means there's no need for refreshing, and there's absolutely no lag. … Sigma directly links data with no refreshing or lag, effectively replacing Palantir Foundry.”

“Everything I previously did in Excel / Sheets (I work in Finance) I can do in Sigma faster and better and it keeps itself up to date.”

“I like how Sigma automates what used to be manual tasks, transforming external Excel work into a comprehensive and single source of truth. I appreciate the direct access it provides to our data lake and how it manages write-back forms and budget management with ease. It stands out as a financial BI tool that allows me to cut and slice data effectively.”