Dataiku Reviews

Name: Dataiku
Brand: Dataiku
Rating: 4.1 (11 reviews)

4.1 out of 5

11 reviews
100% willing to recommend

1,128 followers

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 #7 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 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 18% of all views.

Helped 841,152 peers since 2012

Featured Dataiku reviews

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

One of the valuable features of Dataiku is the workflow capability. It allows us to organize a workflow efficiently. The platform has a visual interface, making it much easier for educated professionals to organize their work. This feature is useful because it simplifies tasks and eliminates the need for a data scientist. If you are knowledgeable about AI, you can directly write using primitive tools like Pantera flow, PyTorch, and Scikit-learn. However, Dataiku makes this process much easier.

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Sabrine Bendimerad

Data Scientist at Electricite De France

One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated. While it was theoretically possible to use GitHub with Dataiku, in practice, it was difficult to manage our code effectively and push it from Dataiku to GitHub. Another limitation was its ability to handle different types of data. While Dataiku is powerful for working with structured data, like regular or geospatial data, it struggled with more complex data types such as text and image. In addition to the challenges with GitHub integration, the limited support for diverse data types was another feature lacking at that time.

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Hamdi Charksi

Senior Data Engineer at One Point

The use case is data science, and we've deployed Data Science Studio in multiple regions for four environments: dev, preset, pre-production, and production The solution responds to the requirements of the business team. Data Science Studio's data science model is very useful. I think it would…

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Dataiku mindshare

As of March 2025, the mindshare of Dataiku in the Data Science Platforms category stands at 12.5%, up from 8.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Science Platforms

PeerAnalyst reports based on Dataiku reviews

Type	Title	Date
Category	Data Science Platforms	Mar 9, 2025	Download
Product	Reviews, tips, and advice from real users	Mar 9, 2025	Download
Comparison	Dataiku vs Databricks	Mar 9, 2025	Download
Comparison	Dataiku vs KNIME	Mar 9, 2025	Download
Comparison	Dataiku vs Amazon SageMaker	Mar 9, 2025	Download

Title	Rating	Mindshare	Recommending
Databricks	4.1	18.5%	96%	88 interviews Add to research
KNIME	4.0	11.6%	94%	59 interviews Add to research

Valuable Features

Dataiku's key features include a user-friendly interface with visual flows, comprehensive data preparation tools, and workflow capability. It supports multiple coding languages like Python and R, allowing seamless integration with BigQuery. Users appreciate its traceability, collaboration, and ease of machine learning model development through recipes. The platform's design provides flexibility for both code-savvy users and those preferring visual navigation, enhancing scalability and stability. Pricing is considered effective.

"Dataiku is highly regarded as it is a leader in the Gartner ranking."
"I believe the return on investment looks positive."
"I rate the overall product as eight out of ten."

Room for Improvement

Dataiku requires improvements in server uptime and stability in query engines like Spark and Hive. Users want enhanced data exclusion capabilities and real-time chart creation. Improved user communication, especially for administrative actions, is needed. The system should be more intuitive for non-IT users and offer better deep learning integration. Managing complex data types and GitHub integration poses challenges. Enhancements in no-code capabilities, interface navigation, error message clarity, and licensing options are desired.

"The technical support from Dataiku is not good. The support team does not provide adequate assistance, and there are concerns about billing requests."
"One area for improvement is the need for more capabilities similar to those provided by NVIDIA for parallel machine learning training. We still encounter some integration issues."
"The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience."

ROI

Users highlighted that the platform's ability to streamline data science processes and enhance collaboration among team members leads to more efficient project completion. Dataiku's versatility and user-friendly interface enable users to manage large datasets effectively and apply complex algorithms, which in turn results in significant time savings and increased productivity. Additionally, the software's scalability allows for ongoing growth and adaptation in diverse environments.

Pricing

Enterprise buyers report mixed experiences with Dataiku's pricing. Licensing fees range from approximately €20 ($22 USD) per key for the basic version to €40 ($44 USD) per key for full access. Users find it cheaper than competitors like Alteryx, although some describe it as steep. Despite varying perceptions of its cost, no additional expenses beyond licensing fees are mentioned, making it potentially appealing for cost-conscious 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 is primarily used for data preparation, data modeling, and data science, including machine learning, sentiment analysis, and predictions from time-series data. Users employ it for ETL development, data migration, and AI applications like oil and gas exploration. Deployment spans multiple environments such as dev, pre-production, and production. Marketing, analytics, health research, and consultancy firms also utilize Dataiku extensively for diverse data-driven tasks and operations.

Service and Support

Customers find Dataiku's customer service efficient, with rapid responses and helpful interactions. They frequently interact directly with knowledgeable team members, such as the CTO, for complex issues. Support is positively compared to other tools, leveraging chat and local industry partners for a personalized experience. Ratings for technical support vary, typically ranging from six to seven out of ten. Dataiku is responsive and provides satisfactory assistance, with a notable presence in both Europe and America.

Deployment

Several users found Dataiku's initial setup simple and quick, with IT teams handling the process. Others noted setup could take one to two days, with some requiring three months for deployment. Users appreciated tutorials and guidelines, suggesting deployment might take a few hours, but customization adds time. Initial management might require a week to stabilize, with users rating its ease highly.

Scalability

Dataiku is scalable, integrating effectively with cloud platforms. Users appreciate its ability to expand and accommodate numerous people, though some note slow performance with large datasets. While it efficiently utilizes office architecture, slight improvements in scalability are desired by some users. There are differing opinions on the speed of processing large records, and its rating varies among users. Integration with tools like BigQuery enhances its scalability capacity.

Stability

Stability varies among users. Some experienced issues such as SQL bugs, server downtime, and privacy concerns, while others found it stable with no glitches. For those on shared platforms, occasional freezing occurs during complex tasks. Stability may be affected by updates to open-source libraries. Admins have optimized usage with resource control and macros. Stability ratings range from high to moderate, with a mention of six out of ten due to open-source dependency challenges.

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.