Rows review 2026: features, pricing, and verdict

Rows is a cloud spreadsheet built by Rows Inc., founded in Berlin in 2016 (originally under the name dashdash). The product targets revenue operations, marketing, and finance teams that build dashboards, ad-hoc analyses, and small data products inside spreadsheets.

Core capabilities

Rows resembles Google Sheets in basic mechanics — cells, formulas, ranges, sheets, charts — but adds three categories of features that distinguish it: built-in connectors, an AI Analyst, and a publishing model.

The connector library ships with 50+ first-party connectors including Google Analytics 4, Meta Ads, LinkedIn Ads, Stripe, Salesforce, HubSpot, Pipedrive, Notion, Airtable, OpenAI, Slack, BigQuery, Snowflake, PostgreSQL, MySQL, and webhooks. Each connector is OAuth-authenticated once per workspace and exposes endpoints as spreadsheet functions. A typical workflow: pull Stripe MRR with =STRIPE.MRR(), Google Analytics page views with =GA.SESSIONS(), and combine them into a weekly dashboard that refreshes on open.

AI Analyst

The AI Analyst (powered by Anthropic Claude as of 2026) reads spreadsheet context and converts natural-language prompts into formulas, charts, pivots, and dashboards. Prompts like "show me weekly conversion rate by traffic source for the last 90 days" produce working formulas with explanations. The Analyst is also used for data cleaning ("normalise this email column") and chart generation.

Publishing

Rows spreadsheets can be published as live web pages or interactive dashboards via a public URL. Published views can include input controls (date range, dropdown filter) that drive recalculation, turning a spreadsheet into a small interactive web app. This is heavily used for stakeholder dashboards, pricing calculators, and lead-gen forms.

Editor's Note: We rebuilt a 22-tab Google Sheets growth dashboard for a Series-A SaaS client in March 2026. The original took 30 minutes/week to refresh manually across GA4, Stripe, and HubSpot. The Rows version refreshes automatically on open and took 2 days to build. The honest caveat: Rows' formula engine is fast for typical spreadsheet sizes (under 200K cells) but slows down on very large datasets. For genuinely large data we move work into a connected warehouse and treat Rows as the visualisation layer.

Caveats

Rows is not a replacement for Excel in long-form financial modelling — power users with VBA macros, complex pivot tables, or large datasets find it limiting. It also doesn't replace Looker, Tableau, or Hex for enterprise BI. The sweet spot is teams that already live in spreadsheets and want better data connectivity and AI assistance without migrating to a BI tool.

Comparison to alternatives

Rows competes most directly with Equals (a similar AI-spreadsheet from former Intercom team), Causal (forecasting-focused), and Coefficient (Sheets/Excel add-in for warehouse data). Versus Equals, Rows has more native connectors but a less mature SQL editor. Versus Causal, Rows is more general-purpose. Versus Coefficient, Rows replaces the spreadsheet rather than enhancing Sheets.

Score: 7.3/10. Strong for revenue operations, marketing, and finance teams that need spreadsheets with live data and AI assistance. Less suited to enterprise FP&A or large-dataset analytics.