Dataiku vs Rows
Side-by-side comparison to help you choose the best tool.
Dataiku
freemiumEnterprise AI and ML platform for collaborative data science, MLOps, and analytics with visual workflows and coding support for data teams. Dataiku brings together data analysts, engineers, and scientists on a single platform that supports both visual no-code workflows and full Python/R/SQL coding environments. Its MLOps features enable teams to deploy, monitor, and govern AI models at scale across the entire organisation.
Best for: Enterprise data teams needing full collaborative AI and ML platform
Visit Dataiku
Rows
freemiumRows 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
Feature Comparison
| Feature | Dataiku | Rows |
|---|---|---|
| Pricing | freemium | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.5 | 4.3 |
| Best For | Enterprise data teams needing full collaborative AI and ML platform | Analysts wanting AI-improved spreadsheets with live data |
| Views | 4 | 4 |
Pros & Cons — Dataiku
Pros
- Excellent collaboration across skill levels
- Strong MLOps and model governance
- Supports both visual and code workflows
Cons
- Complex to administer for smaller teams
- Full feature set requires Enterprise licence
Pros & Cons — Rows
Pros
- Familiar spreadsheet UI
- Live data connections
- AI formula help
Cons
- Learning curve for integrations
- Paid for advanced features
Key Features — Dataiku
- Visual and code-based ML workflow builder
- Full MLOps lifecycle management
- Collaborative multi-persona data platform
- AutoML and model explainability
- LLM integration and generative AI support
Key Features — Rows
- AI analyst
- Live data integrations
- Natural language formulas
- Shareable reports
- 50+ integrations