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Dataiku Reviews

Vendor: Dataiku
4.1 out of 5
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Helped 886,174 peers since 2012

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Dataiku mindshare

As of April 2026, the mindshare of Dataiku in the Data Science Platforms category stands at 5.9%, down from 12.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dataiku5.9%
Databricks8.3%
KNIME Business Hub5.8%
Other80.0%
Data Science Platforms

PeerResearch reports based on Dataiku reviews

TypeTitleDate
CategoryData Science PlatformsApr 9, 2026Download
ProductReviews, tips, and advice from real usersApr 9, 2026Download
ComparisonDataiku vs DatabricksApr 9, 2026Download
ComparisonDataiku vs Amazon SageMakerApr 9, 2026Download
ComparisonDataiku vs KNIME Business HubApr 9, 2026Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.18.3%96%93 interviewsAdd to research
KNIME Business Hub4.15.8%94%62 interviewsAdd to research
 
 
Key learnings from peers
Last updated Mar 29, 2026

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business5
Midsize Enterprise2
Large Enterprise11
By reviewers
By visitors reading reviews
Company SizeCount
Small Business269
Midsize Enterprise143
Large Enterprise739
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
9%
Energy/Utilities Company
6%
Healthcare Company
5%
Insurance Company
4%
Retailer
4%
University
4%
Educational Organization
4%
Non Profit
3%
Comms Service Provider
3%
Construction Company
3%
Transportation Company
2%
Wholesaler/Distributor
2%
Real Estate/Law Firm
2%
Pharma/Biotech Company
2%
Media Company
2%
Government
2%
Outsourcing Company
2%
Performing Arts
1%
Consumer Goods Company
1%
Recreational Facilities/Services Company
1%
Hospitality Company
1%
Marketing Services Firm
1%
Renewables & Environment Company
1%
Legal Firm
1%
Logistics Company
1%
Mining And Metals Company
1%
 
Dataiku Reviews Summary
Author infoRatingReview Summary
Senior Data Scientist at Deloitte4.5I 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 Roure4.0I'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+ employees4.0I 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 employees4.5I'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 Ericsson4.0I'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.
Data Analyst4.5I 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+ employees3.5I'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.
Data Science Lead at a mining and metals company with 10,001+ employees4.0We use Dataiku for oil and gas exploration because of its efficient workflow capabilities and visual interface, making tasks easier without needing a data scientist. Although there are integration issues, the ROI seems positive compared to alternatives considered.