Rows: AI-powered spreadsheet platform that combines traditional spreadsheet functionality with native AI analysis, data imports from 50+ sources, and built-in integrations.
A smarter spreadsheet with AI built in. Import live data from Google Analytics, ads platforms, and databases, then analyze it all with AI — right in the cells.
Rows is a Data & Analytics AI-powered spreadsheet platform that combines traditional spreadsheet functionality with a native AI Analyst, 50+ data source integrations, and collaborative dashboards, with pricing starting at free. It targets marketers, analysts, founders, and operations teams who want to move from raw data to insights without writing SQL or building BI pipelines.
Based on our analysis of 870+ AI tools, Rows stands out by positioning the spreadsheet itself as the AI interface. Its built-in AI Analyst can summarize tables, detect patterns, generate charts, extract tables from PDFs or screenshots, and write spreadsheet formulas from natural-language prompts. Native integrations pull live data from sources like Google Analytics 4, Google Ads, Meta Ads, LinkedIn Ads, HubSpot, Salesforce, Stripe, Notion, Airtable, OpenAI, and more than 50 other tools, so recurring reports refresh automatically instead of being rebuilt each week.
Compared to the other Data & Analytics tools in our directory, Rows sits between traditional spreadsheets (Excel, Google Sheets) and BI platforms (Looker, Power BI). It retains a familiar grid-and-formula interface while layering AI and marketing-data connectors on top. The free Basic tier includes unlimited spreadsheets and AI access, the Plus plan is $8/user/month (billed annually), the Pro plan is $19/user/month, and Enterprise pricing is custom. Rows was founded in 2016 (originally as dashdash) and is headquartered in Berlin, serving hundreds of thousands of users globally. It is best for growth teams, agencies, and SMBs who need marketing and sales dashboards quickly, and is less suited to organizations that already rely on a mature data warehouse plus BI stack.
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Rows offers specialized data & analytics capabilities with focus on reliability and integration. Best suited for teams that need proven solutions with good support.
Every workbook includes a built-in AI Analyst that answers natural-language questions about your data, generates charts, and writes formulas on demand. It can categorize, translate, and summarize cells or ranges without leaving the grid. This effectively removes the need to switch between a spreadsheet and a separate chat tool for analysis.
Rows connects directly to GA4, Google Ads, Meta Ads, LinkedIn Ads, HubSpot, Salesforce, Stripe, Notion, Airtable, OpenAI, and dozens more sources. Each integration exposes structured functions that pull live data on a schedule, keeping reports current without manual CSV exports. REST API, webhook, and SQL database connectors cover most remaining sources.
Users can drop a PDF, screenshot, or photo into Rows and the AI will extract tabular data into an editable spreadsheet. This is useful for invoices, competitor pricing pages, research reports, and any document where data is locked inside unstructured files. The extracted tables behave like normal Rows data and can be analyzed or charted immediately.
Spreadsheets can be styled into interactive dashboards with charts, KPIs, and branded layouts. Reports can be shared via link, embedded in websites or Notion pages, or restricted with granular permissions. This turns Rows into a lightweight BI and client-reporting layer without requiring a separate publishing tool.
Real-time multiplayer editing, comments, and version history allow teams to work on the same workbook simultaneously. Workspace-level permissions, folders, and SSO support on Enterprise plans make it manageable at scale. Guests can be invited to view specific sheets without exposing the entire workspace.
$0
$8/user/month
$19/user/month
Custom
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Rows continues to expand its AI Analyst capabilities and native integration catalog, with recent emphasis on natural-language data analysis, table extraction from PDFs and screenshots, and deeper marketing-stack connectors. Specific 2025-2026 release notes are not enumerated on the public homepage, so exact dates should be confirmed in the Rows changelog.
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