Try It Now
Overview
Rows (formerly Dashdash) is a modern spreadsheet platform that bridges the gap between traditional spreadsheets and AI-powered data analysis. Founded in Portugal in 2016 and backed by investors including Accel Partners, Rows reimagines how teams work with data by embedding an AI analyst — called the "AI Analyst" — directly inside a familiar spreadsheet interface. Instead of writing formulas, SQL queries, or Python scripts, users type what they want in plain English and let Rows interpret, compute, and visualize the answer.
The core value proposition is democratizing data analysis: anyone on a team — from a sales rep to a product manager to a CEO — can run complex data operations without technical training. Rows connects to over 50 data sources including Stripe, HubSpot, Google Analytics, Salesforce, and SQL databases, and lets users pull live data directly into their spreadsheets. From there, the AI Analyst can summarize trends, build charts, calculate KPIs, compare periods, and generate written insights — all from a single conversational prompt.
In 2026, Rows has significantly expanded its AI capabilities, adding multi-step analysis chains where you can ask follow-up questions that build on previous analysis, an "Explain" feature that translates formula logic into plain language, and a shareable reporting layer that turns spreadsheet outputs into polished, embeddable dashboards. For non-technical teams that live in spreadsheets but want the power of a data analyst on demand, Rows is one of the most accessible and capable tools in its class.
Key Features
AI Analyst (Natural Language Queries)
Ask questions about your data in plain English — "What was my revenue by country last quarter?" — and the AI Analyst generates the formula, runs the calculation, and returns the answer with an explanation. No formula knowledge required.
Live Data Integrations
Connect directly to 50+ data sources — Stripe, HubSpot, Salesforce, Google Analytics, PostgreSQL, MySQL, Airtable — and pull real-time data into your spreadsheet without CSV exports or manual copy-paste.
AI-Generated Charts & Visualizations
Tell Rows what you want to visualize and it selects the right chart type, configures axes and groupings, and renders the visualization automatically — bar charts, line charts, scatter plots, and more, editable after generation.
Formula Explanation & Generation
Ask Rows to explain what any formula does in plain English, or describe a calculation you want and have Rows write the formula for you. Especially useful for teams onboarding new members who inherit complex spreadsheets.
Shareable Reports & Dashboards
Turn any Rows spreadsheet into a shareable, embeddable report with a public URL — no login required for viewers. Teams use this to share live KPI dashboards with stakeholders who don't need to edit the underlying data.
Team Collaboration
Multiple users can edit the same spreadsheet simultaneously with real-time presence indicators, comments, and version history. Role-based permissions control who can view, edit, or publish reports from each spreadsheet.
Pros & Cons
Advantages
- Natural language queries make data analysis accessible to non-technical users
- Live integrations eliminate manual data exports and CSV juggling
- Familiar spreadsheet interface reduces learning curve dramatically
- Shareable reports are immediately useful for stakeholder communication
- Formula explanation helps teams understand inherited or complex spreadsheets
- Strong EU data privacy posture (Portuguese company, GDPR-compliant)
Disadvantages
- Not a replacement for Excel or Google Sheets for power formula users
- AI Analyst can misinterpret ambiguous queries — prompts need to be specific
- Some integrations are read-only — can't write data back to source systems
- Less mature ecosystem of plugins and templates compared to Google Sheets
- Free plan limits rows and integrations significantly
Pricing Plans
| Plan | Price | Rows Limit | Key Features |
|---|---|---|---|
| Free | $0/mo | 500K rows | AI Analyst (limited), 5 integrations, shareable reports, basic charts |
| Teams | ~$59/mo | 5M rows | Unlimited integrations, live data refresh, collaboration, priority support |
| Business | ~$149/mo | Unlimited | All Teams features + custom domains, SSO, audit logs, dedicated support |
Pricing is per workspace and billed annually. Monthly billing is available at a slight premium. Check rows.com/pricing for current rates.
Best Use Cases
Rows AI Excels At:
- Revenue and sales reporting for non-technical commercial teams
- Marketing analytics by pulling live data from Google Analytics and ad platforms
- SaaS metrics dashboards (MRR, churn, LTV) connected live to Stripe
- Customer success teams tracking CRM data without SQL access
- Weekly business reviews shared with leadership as live dashboards
May Not Be Ideal For:
- Data scientists needing Python, R, or advanced statistical modeling
- Operations requiring complex multi-sheet formulas (Excel power users)
- Use cases requiring data writeback to source systems (mostly read-only)
- Large enterprise data warehouses (BigQuery/Snowflake scale analytics)
How It Compares
Rows AI vs Google Sheets + Gemini
Google Sheets with Gemini integration is the obvious comparison for teams already in the Google workspace. Sheets has a vastly larger template library, more formula depth, and better offline support. Rows wins on native live integrations (Stripe, HubSpot, etc.) that don't require manual IMPORTDATA or Apps Script setup, and on the quality of its AI Analyst's conversational interface. For Google-first teams, Sheets + Gemini may be sufficient; for cross-tool data teams, Rows is cleaner.
Rows AI vs Notion AI + Databases
Notion's databases with AI are good for project tracking and knowledge management but not for serious data analysis. Rows is purpose-built for data — it handles large datasets, statistical functions, and live API connections that Notion cannot. If your use case is data analysis and reporting (not project management), Rows is the right tool.
Rows AI vs Obviously AI
Both let non-technical users work with data, but their purposes differ. Rows is a better spreadsheet — the right tool for descriptive analytics, reporting, and visualization. Obviously AI is a predictive ML platform — the right tool when you want to predict outcomes (churn, conversion, demand). Many teams use both: Rows for analysis and dashboards, Obviously AI for prediction models.
Final Verdict
Our Recommendation
Rows AI delivers on its promise of making data analysis conversational without abandoning the spreadsheet paradigm that most business users are comfortable with. The AI Analyst is genuinely useful for the 80% of data questions that non-technical users encounter daily — trend summaries, period comparisons, KPI calculations — and the live integration ecosystem means teams can finally get real-time data into reports without engineering support. It's not a replacement for Excel or for data science tools, but as a modern spreadsheet for business teams that want AI-assisted analysis, Rows is one of the strongest products in its category.
Frequently Asked Questions
