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Databricks buys Row Zero to give Genie users a billion-row spreadsheet

Databricks bought Row Zero, whose spreadsheets hold up to 1 billion rows, to give its Genie AI assistant a grid interface. Row Zero co-founder Nick End says people still need a familiar interface to check the results AI agents produce.

The Product Desk · Product desk

Photograph accompanying Databricks buys Row Zero to give Genie users a billion-row spreadsheet
Photo: rowzero.io

What happened

  • Databricks has bought Row Zero, a Seattle startup that makes a spreadsheet editor for large datasets, and did not disclose the price.
  • Databricks plans to build Row Zero into Genie, its AI assistant, as a spreadsheet interface for working with records.
  • Row Zero's standalone product stays available to existing users while its team works on embedding the technology across Databricks.

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Why it matters

  • decision Finance and operations teams already on Genie now have to decide which checks stay in exported Excel files and which move into a sheet tied to governed data.
  • cost Every large sheet is a running cloud machine, so moving spreadsheet work into Databricks puts it on the compute budget, and the price Databricks sets will decide how many finance users get it.
  • exposure Row Zero customers who do not use Databricks keep a product whose team is now working on someone else's platform, so its roadmap depends on the buyer's priorities.
  • capability A figure checked in the grid can go back into the governed platform directly, so a verified number no longer has to leave as an emailed file.

An analyst whose export runs past row 1,048,576 has reached the bottom of an Excel sheet [2]. Google Sheets takes about ten times as much data per file, according to SiliconANGLE [3]. At a billion rows, Row Zero's ceiling is roughly 954 times Excel's [4].

The capacity comes from running every spreadsheet on its own Amazon EC2 instance [5]. That design came from two founders who worked as engineers at Amazon Web Services before starting the company in 2021 [6]. Row Zero says the dedicated machine lets it sort and summarize millions of rows near-instantaneously [7]. Users who need more can write Python, including pandas [8].

In Databricks' telling, the grid is an accessory to Genie, whose base edition answers natural-language prompts about a dataset [11]. "As more finance, operations and go-to-market teams adopt Genie, incorporating a seamless spreadsheet experience is a must-have," said Patrick Wendell, Databricks co-founder and vice president of engineering [13].

Row Zero co-founder Nick End gave a plainer account of what users actually do. Even as AI agents perform more data analysis, he told GeekWire in an email, people still need a familiar interface to verify the results [18]. On that account the prompt comes first. The grid comes second, as the place someone opens the rows behind a Genie answer before signing off on it. Row Zero's connectors fit that job: a sheet copied from a platform such as Databricks refreshes when the source record changes, and results can be written back to the linked platform [9]. Inside Databricks, the sheet will sit on Unity Catalog and Unity Gateway, the tools Databricks uses to keep AI work within an organization's governance policies [12].

The case that analysis will leave Excel and Google Sheets has less behind it. Row Zero sold itself as a faster, more secure alternative to both [19], and it raised $13 million before the sale, according to SiliconANGLE [20]. The reports do not say how many people use it. The founders talk about distribution instead. End said the two companies already serve many of the same enterprise customers who analyze cloud data in spreadsheets [17]. Fresen wrote on LinkedIn that Databricks serves more than 20,000 organizations [16]. "What is changing is the speed at which we'll be able to put Row Zero in the hands of customers," he wrote [15].

A team already on Databricks can sort its spreadsheet work on two lines: whether it runs past Excel's row limit, and whether the result has to go back into the platform. Large and written back is the work Databricks bought Row Zero for, and the place to pilot the Genie grid first. The tradeoff in that cell is compute, since each of those sheets is a live cloud instance [5]. Large but kept local does not need Genie; a Python notebook or the standalone product covers it. Small and written back is a governance case on its own, strongest where emailed exports are where the errors start. Small and local stays in Excel.

What to watch

  • The price Databricks sets for the Genie spreadsheet, given that each sheet runs on its own EC2 instance.
  • Whether standalone Row Zero keeps shipping features for customers who do not run Databricks.
  • Any Genie adoption figures for the finance, operations and go-to-market teams Wendell named.
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