Databricks Acquires Row Zero as 2026 Startup Shopping Spree Continues
TL;DR
- Databricks has acquired Seattle-based cloud spreadsheet startup Row Zero to bring a high-performance, warehouse-native spreadsheet directly into its Data Intelligence Platform.
- The deal is the latest in Databricks' aggressive 2026 buying spree as it races Snowflake and hyperscalers to own the business-user layer for data and AI.
- Analysts see BI, governance, and AI agent startups like Sigma, Hex, and Immuta as likely next targets ahead of Databricks' long-awaited IPO.
A Spreadsheet That Thinks Like a Database
Databricks is buying its way to the business user. The data and AI giant confirmed this week it has acquired Row Zero, the cloud spreadsheet startup built to work on billion-row datasets without exports or copy-paste.
Terms of the deal were not disclosed, but sources familiar with the matter described it as a talent-plus-technology acquisition that will see the Row Zero team join Databricks' Lakehouse product group. Row Zero's product will continue to operate in the short term, with deep integration into Databricks SQL and the broader Data Intelligence Platform expected in the coming quarters.
Founded in 2021, Row Zero set out to fix the oldest pain point in data work: Excel and Google Sheets break when data gets big. Instead of importing CSVs, Row Zero connects live to data warehouses and data lakes, including Databricks, Snowflake, Postgres, and BigQuery, and runs computations in the cloud. The company pitched itself as a spreadsheet with the power of Python and SQL under the hood, capable of handling over 100 million rows in the browser, with built-in integrations, pivot tables, and AI-assisted formulas.
For Databricks, which built its empire serving data engineers and data scientists, that's exactly the point.
Why Databricks Wanted Row Zero
On the surface, a spreadsheet looks unglamorous next to large language models and AI agents. Inside Databricks, it's strategic.
Databricks has spent the last two years repositioning from a lakehouse infrastructure company to a full Data Intelligence Platform where everyone, not just technical users, can query, visualize, and act on data using natural language. Its Databricks SQL, Dashboards, and Genie AI/BI products have been central to that push, driving massive growth as enterprises look to replace legacy BI stacks.
Row Zero fills the last-mile gap. While dashboards are great for viewing metrics, business analysts, finance teams, and operations managers still live in spreadsheets to model, forecast, and explore. By embedding a warehouse-native spreadsheet directly on top of Unity Catalog and Databricks SQL, Databricks can keep those users inside its ecosystem instead of losing them to an Excel export.
There is also a defensive angle. Snowflake, Databricks' arch-rival, has invested heavily in Horizon, Cortex AI, and its own spreadsheet-like experiences. Google Sheets and Microsoft Excel are both adding live warehouse connectors and Copilot-powered AI. Owning Row Zero gives Databricks a credible, beloved front-end that is already designed for the lakehouse era.
How Row Zero Fits the Data and AI Platform Strategy
Insiders say Row Zero will become the interactive layer for three key Databricks bets.
First is AI/BI. Databricks has been pushing Genie, its conversational AI analyst, and AI-powered dashboards as the future of BI. Row Zero adds a familiar spreadsheet canvas where users can start with an AI-generated query, then drill, edit cells, build models, and share back to the warehouse without ever leaving governance.
Second is Unity Catalog and governance. Unlike traditional spreadsheets that create sprawling, ungoverned copies of data, Row Zero queries data where it lives. That fits perfectly with Databricks' pitch around governed data sharing, lineage, and access controls. Every cell edit, join, and share can inherit permissions from Unity Catalog.
Third is the Lakehouse app ecosystem. Since closing its $1 billion acquisition of serverless Postgres company Neon and doubling down on Lakebase, Databricks has urged developers to build data-intensive apps directly on Databricks. A high-performance spreadsheet component is a killer building block for finance, supply chain, and data apps.
In short, Row Zero turns Databricks from a place where data is stored into a place where work actually gets done.
Inside Databricks' Aggressive 2026 Shopping Spree
The Row Zero deal caps a frenetic year of dealmaking for CEO Ali Ghodsi.
After raising at a valuation north of $100 billion and reportedly pushing toward $4 billion in annualized revenue, Databricks entered 2026 with a massive war chest and a clear mandate: assemble the full stack before an IPO.
This year alone, the company has closed deals for serverless database technology with Neon, bolstered its AI agent and MLOps capabilities, and added real-time ingestion and governance talent. Each acquisition has followed the same playbook: buy best-in-class, open, developer-loved technology, then deeply integrate it into the lakehouse and monetize via compute.
The strategy mirrors Snowflake's own spree and the hyperscalers' rush to own AI workloads. With Databricks and Snowflake both racing to become the operating system for enterprise data and AI, owning the user interface is becoming as important as owning storage and compute.
Who Could Be Next
Bankers and VCs already have a shortlist for Databricks' next targets.
On the front-end and BI side, names that come up repeatedly are Sigma, Hex, and Equals. Sigma, with its spreadsheet-like interface on the warehouse, would be a larger, more direct competitor to Row Zero's vision. Hex, which blends notebooks, apps, and AI agents, would accelerate Databricks' collaborative data science story.
In the data infrastructure layer, MotherDuck, ClickHouse, and dbt Labs are perennial rumors. MotherDuck would strengthen Databricks' DuckDB and edge analytics play, while dbt Labs would bring the massive dbt transformation community in-house.
In governance and AI safety, startups like Immuta, BigID, and Galileo are seen as natural fits as Databricks pushes Unity Catalog as the standard for governed AI. And in agentic AI, any small team building evaluation, observability, or voice agents for enterprise data could be an acqui-hire target.
What Happens Next
For Row Zero customers, Databricks says it will be business as usual for now, with support for Snowflake, BigQuery, and Postgres connectors continuing during a transition period. Long term, expect Row Zero's engine to be re-platformed as a native Databricks experience, likely rebranded under the AI/BI suite.
For the market, the message is clear: the spreadsheet is cool again, and the lakehouse wars have moved upstack. Databricks doesn't just want to power your AI models. It wants to power the forecast model your CFO opens every Monday morning.
If 2026 is any indication, it won't stop with Row Zero.
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