Dataiku
Enterprise AI platform combining data prep, ML, and AI app development
Overview
Enterprise AI platform that brings together data preparation, machine learning, MLOps, and AI application development in a single collaborative environment. Supports both code and no-code workflows for data scientists and analysts.
Ehsan's Growth Verdict
The right platform for enterprises that want to democratize ML beyond the data science team
Best for: Enterprises running citizen data science programs where analysts need ML capabilities without writing Python
Key Features
- ✓Visual ML pipeline builder
- ✓AutoML capabilities
- ✓No-code and code workflows
- ✓MLOps and model monitoring
- ✓AI application deployment
Pros
- + Bridges the gap between analysts and data scientists
- + Visual pipelines lower the barrier to ML
- + Comprehensive from data prep to deployment
Cons
- − Enterprise pricing puts it out of reach for small teams
- − Jack of all trades — each feature is good but not best-in-class
- − Complex platform requires training investment
Pricing
| Plan | Details |
|---|---|
| Free | Community edition — limited |
| Team | Custom pricing |
| Enterprise | Custom — typically $50K+/yr |
| Government | Custom pricing |
Best Use Cases
Ehsan's Growth Take
Dataiku is the Salesforce of data science: not the tool individual data scientists choose, but the tool enterprises buy to get 10x more people doing ML. If your strategy is "ML for everyone," Dataiku is the most complete platform. If you have elite data scientists, they'll prefer Databricks notebooks.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council