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Dataiku Reviews

Vendor: Dataiku
4.1 out of 5
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What is Dataiku?

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

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Dataiku is the #4 ranked solution in top Data Science Platforms. PeerSpot users give Dataiku an average rating of 8.2 out of 10. Dataiku is most commonly compared to Databricks: Dataiku vs Databricks. Dataiku is popular among the large enterprise segment, accounting for 66% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 17% of all views.
Buyer's Guide
Dataiku
January 2026
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Dataiku mindshare

As of January 2026, the mindshare of Dataiku in the Data Science Platforms category stands at 8.0%, down from 12.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Dataiku8.0%
Databricks9.6%
KNIME Business Hub8.7%
Other73.7%
Data Science Platforms

PeerResearch reports based on Dataiku reviews

TypeTitleDate
CategoryData Science PlatformsJan 8, 2026Download
ProductReviews, tips, and advice from real usersJan 8, 2026Download
ComparisonDataiku vs DatabricksJan 8, 2026Download
ComparisonDataiku vs Amazon SageMakerJan 8, 2026Download
ComparisonDataiku vs KNIME Business HubJan 8, 2026Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.19.6%96%91 interviewsAdd to research
KNIME Business Hub4.18.7%94%60 interviewsAdd to research
 
 
Key learnings from peers
Last updated Jan 6, 2026

Valuable Features

Dataiku offers a user-friendly interface and visual data preparation tools. It supports multiple coding languages and integrates well with machine learning. The platform excels in workflow organization, traceability, and collaboration. Its flexibility in data source integration and the use of Spark is appreciated. AutoML tools offer automation benefits and enhance team collaboration. Key features also include ETL, API services, and strong integration with public cloud platforms, making it efficient for building and deploying data pipelines.
  • "The best features Dataiku offers that help me with my demand forecasting and data science projects include having a complete overview of the flow directly from the flowchart, allowing me to observe all the steps in a single overview, and the ability to use a no-code, low-code node."
  • "I consider the return on investment with Dataiku valuable because for us, it is one single platform where all our data scientists come together and work on any model building, so it is collaboration, plus having everything in one place, organized, having proper project management, and then built-in capabilities which help to facilitate model building."
  • "Dataiku is a complete platform to build ETL and data pipeline and deploy it, which I appreciate."

Room for Improvement

Dataiku needs improved server stability and query engine performance. Enhancements in user interface accessibility and error message clarity would be beneficial. Deep learning integration, better data exclusion, and architecture for business use cases are desired. More code flexibility, integration ease with GitHub, and support for diverse data types are requested. There are calls for more natural language processing, parallel machine learning features, and enhanced pricing and licensing options. Pricing is considered high, impacting collaboration and accessibility.
  • "Dataiku's scalability is not one of the best solutions to scale."
  • "I think the pricing and licensing of Dataiku is a bit expensive; it could be improved further, and I think they should have a different kind of licensing model as well."
  • "All products have room for improvement, and I would like to see their pricing simplified, as it is somewhat complex."

ROI

Users report a generally positive return from Dataiku. Some highlight its ability to comply with regulations and simplify architecture, leading to tool decommissioning. Others mention enhanced collaboration among data scientists and efficient project management as beneficial returns. While some express concerns about price and monetization, they acknowledge that Dataiku allows for faster development and reduces the complexity of system architecture.

Pricing

Dataiku's pricing for enterprise users varies, with basic annual licensing fees around €20 ($22 USD) per key and €40 ($44 USD) for a comprehensive version. Some users find it competitively priced compared to alternatives like Alteryx, while others consider it expensive and not budget-friendly for all clients. Most agree there are no additional costs beyond licensing, making it suitable primarily for larger organizations.
  • "Pricing is pretty steep. Dataiku is also not that cheap."
  • "The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

Popular Use Cases

Dataiku users focus on data preparation, modeling, and science, including machine learning and AI applications. They engage in time-series predictions, sentiment analysis, and pipeline management. Data migration between databases and oil and gas exploration are also common. Marketing, analytics, and different environments such as dev, production, and API nodes leverage Dataiku. Many organizations use it for health research, telecommunications, retail, and consulting, creating rules-based alert systems and working with large language models.

Service and Support

Dataiku's support is generally quick and responsive, with many users interacting directly with the CTO for complex queries. Some find tech support excellent, rating it favorably, citing prompt and knowledgeable responses. Others report that it can take time to resolve issues, with chatbots and ticketing systems distributing queries efficiently. While many are satisfied and find the support comparable to other tools, some have concerns about adequacy, especially with billing or specific complaints being addressed slowly.

Deployment

Many found Dataiku's initial setup simple, often requiring minimal time or staff. Some faced technical hurdles, needing support from Dataiku experts. Deployment varied from hours to days, depending on customization needs. Guides and tutorials were viewed as helpful, but a few encountered integration challenges, especially with server versions. Some companies had the setup pre-handled by IT teams. Despite initial hurdles, most users successfully deployed Dataiku with the necessary resources.

Scalability

Dataiku is widely recognized for its scalability with users highlighting its integration capabilities with platforms like BigQuery and cloud solutions. While many have experienced seamless scalability, some noted performance challenges, particularly with large data volumes. A few emphasize the need for licensing costs as a factor. Multiple teams, ranging from a few individuals to over 800 employees, report that scalability is achievable, yet there are mixed opinions on its efficiency and speed with vast datasets.

Stability

Opinions on Dataiku's stability vary. Some report no issues, while others cite problems like server downtime, privacy concerns, and bugs in SQL operations. Users note that complex tasks can freeze the system, but resource control and in-built macros aid stability. Dependence on open-source tools can impact consistency. Certain users find Dataiku stable if data has no outliers. Individuals mention satisfaction, though some rate its stability lower due to various external factors.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Dataiku Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise9
By reviewers
By visitors reading reviews
Company SizeCount
Small Business274
Midsize Enterprise149
Large Enterprise826
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
9%
Energy/Utilities Company
6%
Healthcare Company
5%
Insurance Company
5%
Retailer
5%
University
4%
Educational Organization
4%
Non Profit
3%
Comms Service Provider
3%
Government
3%
Transportation Company
3%
Media Company
3%
Construction Company
2%
Wholesaler/Distributor
2%
Pharma/Biotech Company
2%
Real Estate/Law Firm
2%
Hospitality Company
1%
Performing Arts
1%
Outsourcing Company
1%
Logistics Company
1%
Consumer Goods Company
1%
Recreational Facilities/Services Company
1%
Renewables & Environment Company
1%
Legal Firm
1%
Mining And Metals Company
1%

Compare Dataiku with alternative products

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Learn more about Dataiku

Dataiku was previously known as Dataiku DSS.

Dataiku customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto

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Dataiku Reviews Summary
Author infoRatingReview Summary
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.
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 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.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació4.0I use Dataiku primarily for preparing health investment research cohorts, valuing its traceability and collaboration features. With multiple engineers on my team, integration with machine learning is crucial. However, the licensing cost is high, and I seek more healthcare sector experience.
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.
Big Data Consultant at a computer software company with 1,001-5,000 employees4.0My 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.
Cognitive Business Operation at a consultancy with 10,001+ employees5.0I primarily use Dataiku for data science and AI applications. It's a leader in capabilities and integration but is expensive with limited support. Lower pricing would enhance ROI. Alternatives include Converge.io, Domino Data Lab, and ClearML.
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.