Row Zero is a finalist for GeekWire's UX Design of the Year award!

Your business wants a spreadsheet.
Give it to them.

Enable teams to access the data they need with a tool they already know how to use.

Try it now

No account needed

Row Zero is an impressive feat of engineering, making big data feel small in a familiar spreadsheet interface.

Wes McKinney
Creator of Pandas and Apache Arrow

Toronto Metropolitan UniversityRetirableTassoSeaborne LogisticsTradewaySoluntechAlphasenseGeneration PledgeFoxtrotSplitrock ResourcesCrew

Use cases

Give your business access to cloud data sources in a tool they already know how to use. Explore hundreds of millions of rows, perform ad-hoc analyses, and monitor trends from the comfort of a spreadsheet.

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Power and speed

  • Write Excel-compatible formulas to process hundreds of millions of rows instantly
  • No more slow dashboards - filter, sort, pivot, and plot in milliseconds
  • Upload multi-GB CSV and JSONL files - no need for databases or expensive BI tools
Familiar UI icon

Familiar UI

  • Excel compatible - execute VLOOKUPS, XLOOKUPS, COUNTIFS, INDEX MATCHs, and more
  • Filter, sort, pivot, and plot the way you already know how - no BI tool training required
  • Enable your business teams with an analysis tool they already know how to use
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Connect to any data source

  • Row Zero runs in the cloud and connects directly to any data source
  • Connect data warehouses, data lakes, APIs, and any other service to build models on live data
  • Save time and reduce mistakes by connecting to live data instead of copy/pasting
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Sharing and collaboration

  • Collaborate in real time - Share each workbook with editor and viewer permissions
  • Govern your data. No more Sharepoint or untraceable emails with .xlsx attachments
  • Provide refresh permissions (without revealing credentials) so business teams can build models off live data
  • Use the Follow feature when presenting to walk team members through your analysis
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Python

  • Decompose long spreadsheet formulas with Python helper functions to improve readability and prevent costly errors
  • Import popular Python modules like pandas, numpy, scipy, and yfinance, to perform complex analysis in a familiar tool
  • Never write VBA again