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.
Governance. Track everything: lineage, versions, approvals. Critical for regulated industries.
Key Features
Visual and code: Drag-and-drop or Python/R/SQL in same project
AutoML: Automated model building with explainability
Data catalog: Discover and understand datasets
MLOps: Model deployment, monitoring, retraining
Collaboration: Projects, scenarios, version control
Pricing
Free: Limited features, 3 users, local only
Enterprise: Custom pricing (typically $100k+/year)
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
✅ Governance and compliance requirements
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)
❌ Small team (overkill)
Common Use Cases
Enterprise ML: Cross-functional teams building production models
Analytics automation: Scheduled reports and dashboards
Data pipelines: ETL with visual and code
Citizen data science: Empower analysts with AutoML
Regulated industries: Banking, healthcare with governance
Dataiku vs Alternatives
vs Databricks: Dataiku more visual, Databricks better for big data
vs KNIME: Dataiku enterprise-focused, KNIME open source
vs Alteryx: Dataiku better for ML, Alteryx better for data prep
Unique Strengths
Hybrid platform: Best visual + code integration
Collaboration: Mixed-skill teams work together
Governance: Enterprise tracking and compliance
Complete platform: Everything from ETL to MLOps
Bottom line: Best platform for mixed teams. Business analysts and data scientists working together. Powerful but complex. Free edition available.