Dataiku DSS
What it is: Collaborative data science platform unifying visual workflows and coding. Data prep, ML, deployment for mixed-skill teams.
What It Does Best
Hybrid approach. Analysts use visual interface, data scientists write code—same platform, same projects. True collaboration.
End-to-end platform. From raw data to production ML. ETL, analytics, AutoML, custom models, deployment, monitoring—all included.
When to Use It
✅ Teams with mixed technical levels
✅ Need both visual and code workflows
✅ Enterprise-scale data science
✅ Want unified platform for entire workflow
When NOT to Use It
❌ Small budget (enterprise pricing)
❌ Simple, single-user projects
❌ Pure coders (may prefer pure Python)
❌ Just starting out (steep learning curve)
Bottom line: Best platform for mixed teams. Business analysts and data scientists working together. Powerful but complex. Free edition available.