Dataiku Reviews

Name: Dataiku
Brand: Dataiku
Rating: 4.0 (9 reviews)

4.0 out of 5

9 reviews
100% willing to recommend

1,125 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 8.0 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 831,071 peers since 2012

Featured reviews

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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Ramon Roman Viñas

Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació

I use that IQ since I am preparing cohorts for health investment research Traceability and collaboration are essential for me. I have eight or nine engineers working together. Integration with machine learning is also crucial for us. Additionally, traceability is vital since I manage many…

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Dataiku mindshare

As of January 2025, the mindshare of Dataiku in the Data Science Platforms category stands at 12.1%, up from 7.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Science Platforms

PeerAnalyst reports

Type	Title	Date
Category	Data Science Platforms	Jan 18, 2025	Download
Product	Reviews, tips, and advice from real users	Jan 18, 2025	Download
Comparison	Dataiku vs Databricks	Jan 18, 2025	Download
Comparison	Dataiku vs KNIME	Jan 18, 2025	Download
Comparison	Dataiku vs Amazon SageMaker	Jan 18, 2025	Download

Title	Rating	Mindshare	Recommending
Databricks	4.1	19.1%	96%	85 interviews Add to research
Microsoft Azure Machine Learning Studio	3.8	5.7%	93%	60 interviews Add to research

Valuable Features

Dataiku offers versatile features like a process scheduler, cloud-based operations, and strong coding support in Python and R. Users appreciate the visual data preparation tools, intuitive interface, and seamless BigQuery integration. It facilitates feature selection, modeling approaches, and has efficient machine learning 'recipes' for data preprocessing. Traceability and collaboration stand out, benefiting teams with multiple engineers. The interface is user-friendly, cost-effective, stable, and scalable, providing flexibility for both coders and non-coders.

"I rate the overall product as eight out of ten."
"Traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another."
"The advantage is that you can focus on machine learning while having access to what they call 'recipes.' These recipes allow me to preprocess and prepare data without writing any code."

Room for Improvement

Dataiku requires improvements in server stability and query engine consistency. Enhancements in data exclusion, user interface, and real-time messaging for administrators are needed. The tool's complexity poses challenges for non-IT users, affecting accessibility. Integration with GitHub and handling of diverse data types is problematic. The interface requires a friendlier design for developers. Deep learning integration should be improved. Dataiku's licensing is costly, and an intermediate option would benefit health sector users.

"The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience."
"The license is very expensive."
"One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated."

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 considering Dataiku have reported mixed experiences with pricing and costs. The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for a more comprehensive version. While some users find it more affordable than alternatives like Alteryx, others consider it expensive. There are no additional expenses beyond licensing costs, making it relatively straightforward in terms of budgeting. Pricing is perceived as steep by some 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

Organizations utilize Dataiku for diverse purposes: ETL development, data preparation, and modeling, data migration between Redshift warehouses, and data science deployment across multiple environments. They engage in predictive analytics on time-series data, conduct sentiment analysis, implement machine learning models, and apply cohort analysis for health investment research. Marketing and sales teams frequently use Dataiku, incorporating Jupyter Notebook capabilities for analytics tasks. Various consultants and developers operate Dataiku for clients to enhance data-driven insights.

Service and Support

Dataiku's customer service and technical support are generally rated positively, with quick, knowledgeable responses and direct interactions with key team members like the CTO. Users appreciate the quick ticket resolution and effective chat support. While some rate it six or seven out of ten, others describe it as excellent and supportive, particularly for complex issues. Dataiku's expanding presence in America adds to its accessibility, and the quick responsiveness of its service team is frequently highlighted.

Deployment

Initial setup experiences with Dataiku were largely positive. Users found the process straightforward, with some noting the ease of deployment. IT teams typically managed the setup, while others observed that initial configurations by their organizations required minimal additional effort. Deployment duration varied, taking anywhere from a few days to a few months, depending on customization needs. Tutorials and guidelines facilitated the process. Some required a week to stabilize the setup after deployment, yet considered it simple enough to rate highly.

Scalability

Dataiku allows for easy scaling and integration with cloud platforms, benefiting multiple users within organizations. While some report slow performance with large datasets and acknowledge room for improvement, others find it efficiently supports their architecture. Organizations vary in size, with some having a handful of users and others managing larger teams. Scalability ratings range from seven to nine out of ten, indicating mixed experiences with handling growth.

Stability

Dataiku exhibits mixed stability performance with some users encountering SQL bugs and server downtime affecting scheduled processes, while others find it reliable. Users experience freezes during complex model training but can manage it with resource control and macros. Open-source dependencies can influence stability, leading to variability. Organizations rate stability as moderate despite the occasional privacy concern.

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.