Dataiku is an enterprise AI and analytics platform built to help organizations turn data into measurable business outcomes. It provides a single, collaborative environment where business analysts, data teams, and IT work together to design, build, deploy, and manage AI projects at scale. By combining visual tools with powerful data and machine learning capabilities, Dataiku empowers teams to move faster, reduce operational friction, and deliver insights and applications that drive real impact.
Instead of relying on disconnected tools or long handoff cycles, Dataiku centralizes the entire workflow from raw data preparation to model experimentation, dashboard creation, and automated production pipelines. This unified approach ensures consistency, governance, and efficiency across every stage of the AI lifecycle, enabling organizations to innovate confidently and accelerate their transformation.
Product Features
| Features | Description |
|---|---|
|
Instance & Projects |
The instance is the top-level environment; projects act as containers for flows, recipes, datasets, notebooks, dashboards, and webapps. |
| Flow & Recipes | The Flow visually maps how data moves and transforms; recipes perform joins, preparation steps, and processing tasks. |
| Lab, Notebooks & Analysis | The Lab supports ML experimentation; notebooks enable Python/R scripting; analysis views generate charts and reports. |
| Datasets & Models | Datasets are tabular assets flowing through the pipeline; models capture machine learning outputs trained from those datasets. |
| Dashboards, Insights & Webapps | Dashboards visualize insights; webapps package findings into custom interactive applications. |
| Scenarios (Automation) | Scenarios automate workflows, schedule flow runs, refresh data, and trigger processes based on conditions. |
Operational Automation
- Automated workflows with Scenarios keep projects running on schedule.
- Flows & Recipes streamline transformations with minimal manual effort.
- Reliable execution across development, testing, and production.
Fresh Data, Minimal Impact
- Incremental updates ensure datasets and models stay current.
- Targeted transformations reduce load on source systems.
- Analysts empowered to build dashboards and apps without bottlenecks.
Accuracy & Governance
- Dashboards & Insights validate data quality in real time.
- Projects provide structured, auditable containers for all assets.
- Scenarios deliver predictable, traceable automation.
Services
Our Strengths
Unified Collaboration
Dataiku brings business, data, and IT teams together in one shared environment, eliminating silos and reducing handoffs.
Visual Productivity for Analysts
Analysts and subject‑matter experts can directly access data, build models, create dashboards, and develop applications without waiting on technical teams.
End‑to‑End AI Lifecycle
From raw data to deployed applications, Dataiku supports every step design, preparation, modeling, visualization, and automation.
Governed Development & Production
A single place for development, testing, and production ensures consistency, reliability, and controlled deployment of AI workflows.
We Are Masters Of
Collaborative AI Project Building
Dataiku enables teams to build AI projects side‑by‑side, ensuring alignment from design through deployment.
Visual Data Transformation
Flows and recipes make complex data preparation accessible to both technical and non‑technical users.
Machine Learning Experimentation
The Lab and notebooks provide a flexible environment for testing, comparing, and refining models.
Interactive Insights & Applications
Dashboards, insights, and webapps allow teams to communicate findings and deliver interactive experiences.
Reliable Automation
Scenarios keep processes running on schedule, ensuring dependable, repeatable workflows.