| Senior Data Scientist at Deloitte | 4.5 | I primarily use Dataiku for life sciences data pipelines, finding its visual recipes and automation invaluable. It significantly cut project delivery time by 40% and AWS costs by 70%. While documentation needs improvement, I highly recommend Dataiku for its efficiency. |
| Cdao/Global Head Of Data And Analytics at Givaudan Roure | 4.0 | I've used Dataiku primarily for data science and model building, valuing its integrated features, though setup was challenging, support needs improvement, and pricing is high; overall, it's effective for collaboration and accelerates our proprietary model development. |
| Solution Architect at a pharma/biotech company with 10,001+ employees | 4.0 | I find Dataiku highly effective for ETL, ML, and automation, significantly boosting team productivity and enabling non-coders. While data analysis is a strong point, I believe dashboards and API integration could improve, and customer support sometimes lags. |
| Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees | 4.5 | I've used Dataiku for two years to develop AI and data solutions for BFSI clients; it's user-friendly, scalable, supports collaboration well, and delivers strong ROI despite complex pricing, with reliable performance and excellent customer support. |
| Data Scientist at Ericsson | 4.0 | I've used Dataiku for four years to manage data pipelines effectively; it's powerful and flexible but expensive, making collaboration limited. Its AutoML features are helpful, though ROI is unclear due to shared tools and unclear monetization tracking. |
| Big Data Consultant at a computer software company with 1,001-5,000 employees | 4.0 | My company sells licenses for Dataiku and Alteryx, and I've seen its drag-and-drop and automation features significantly enhance clients' machine learning model development. However, more flexibility with code-based features would be beneficial. |
| Data Analyst | 4.5 | I highly value Dataiku's reusable recipes for data preparation, which significantly automate and save time on repetitive tasks. It's an intuitive, scalable platform enabling end-to-end projects. Though nearly perfect, the interface could be better organized. It’s the best solution. |
| Manager at a tech vendor with 10,001+ employees | 3.5 | I've used Dataiku for two years on AI projects like demand forecasting, appreciating the no-code flow for non-technical users, though I find its visualizations, integration, stability, and scalability could be improved. I'd rate it 7 out of 10. |
