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Rows vs Sisense

Side-by-side comparison to help you choose the best tool.

Rows

freemium
Data & Analytics
4.3 / 5.0

Rows is an AI spreadsheet that connects to live data sources and lets you analyse data using natural language. It combines the familiarity of spreadsheets with AI superpowers.

Best for: Analysts wanting AI-improved spreadsheets with live data
Visit Rows

Sisense

paid
Data & Analytics
4.3 / 5.0

Embedded analytics platform with AI data, predictive analytics, and natural language query for embedding BI into products and workflows. Sisense's Fusion analytics architecture allows developers to embed full-featured analytics directly into SaaS products and internal applications. Its AI features include predictive modelling, anomaly detection, and conversational analytics for end users.

Best for: SaaS companies embedding analytics into their products
Visit Sisense
Feature Comparison
Feature Rows Sisense
Pricing freemium paid
Category Data & Analytics Data & Analytics
Rating ★★★★☆ 4.3 ★★★★☆ 4.3
Best For Analysts wanting AI-improved spreadsheets with live data SaaS companies embedding analytics into their products
Views 107 158
Detailed Attribute Comparison
Attribute Rows Sisense
Pricing Type freemium ✓ paid
Free Trial No No
API Available No No
Mobile App No No
Rating 4.3 4.3
Founded - -
Team Size - -
Deployment - -
Popularity (Views) 107 158 ✓
Green highlight indicates the stronger value for that attribute.
Pros & Cons — Rows
Pros
  • Familiar spreadsheet UI
  • Live data connections
  • AI formula help
Cons
  • Learning curve for integrations
  • Paid for advanced features
Pros & Cons — Sisense
Pros
  • Excellent embedded analytics capabilities
  • Strong AI and ML feature set
  • Highly scalable architecture
Cons
  • Complex initial setup and configuration
  • Higher cost compared to open-source alternatives
Key Features — Rows
  • AI analyst
  • Live data integrations
  • Natural language formulas
  • Shareable reports
  • 50+ integrations
Key Features — Sisense
  • Embedded analytics and white-labelling
  • AI-powered predictive analytics
  • Natural language query interface
  • Fusion architecture for scalability
  • REST API and SDK for developers
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