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DataikuExternal reviews
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Dataiku for Data Science/AI projects
What do you like best about the product?
SImple to use & scale. Flexibity & integrated well into the any infra.
What do you dislike about the product?
The main drawbacks of Dataiku is cost, scalability limitations, integration complexity, performance issues, and the need for user training.
What problems is the product solving and how is that benefiting you?
Dataiku addressed critical issues in data quality, operational efficiency, analytics collaboration, AI scalability, compliance, and business-user empowerment, serving as a unified platform for enterprise data innovation and value generationtion.
A Powerful Platform for End-to-End Data Science & Collaboration
What do you like best about the product?
Dataiku is excellent for managing the entire data pipeline from data preparation to machine learning and deployment. The best part is it easy to implement. The best part is how it allows both technical and non-technical users to collaborate on the same platform. Visual workflows make it easy to build projects without heavy coding, while advanced users can still dive deep with Python, R, or SQL. The integration with cloud platforms and version control is also very smooth.
What do you dislike about the product?
The platform can feel heavy for smaller projects, and the initial learning curve is a bit steep for beginners. Also, the licensing costs can be high for small companies or startups.
What problems is the product solving and how is that benefiting you?
For me, Dataiku mainly solves the problem of collaboration between technical and non-technical teams. Earlier, a lot of time used to get wasted when data scientists, analysts, and business teams worked separately and had to constantly exchange files and reports. With Dataiku, we can all work on the same platform data cleaning, model building, and visualization happen in one place. It also saves me from doing repetitive manual tasks since a lot of workflows can be automated. Overall, it has made our data projects faster, more transparent, and easier to manage.
Great website and great platform!!
What do you like best about the product?
It brings together data people analysts, engineers, scientists on one platform
What do you dislike about the product?
honestly, is that it can feel a bit heavy and slow, especially on large projects with a lot of visual recipes or datasets.
What problems is the product solving and how is that benefiting you?
Collaboration gaps, i think it brings data scientists, analysts, engineers, and business users into one shared workspace
Functionality
What do you like best about the product?
Strong version control, shared projects, and role-based access enhance teamwork across data and business teams
What do you dislike about the product?
Some powerful capabilities are only available in higher-tier or enterprise versions, which may not be cost-effective for smaller teams
What problems is the product solving and how is that benefiting you?
Covers the full data lifecycle: ingestion, preparation, modeling, deployment, and monitoring
Emerging player in Data Science
What do you like best about the product?
One of the best feature in Dataiku is No code feature which can help resources who are not comfortable in coding. It supports Python/R libraries and workflow playbook.
What do you dislike about the product?
Still expensive solution for implementation.
What problems is the product solving and how is that benefiting you?
Generally Dataiku helped us to build Data Science projects and predictive analysis to build some KPI's.
Experience using Dataiku
What do you like best about the product?
I like how intuitive is to use Dataiku, there are many features that reminds me of a blend of SQL, excel, and python.
What do you dislike about the product?
It can be difficult if you wanna implement advanced tools such as python in the flow.
What problems is the product solving and how is that benefiting you?
Analyzing fraudulent transactions, uncovering hidden patterns.
Dataiku in my company
What do you like best about the product?
It makes our lives easier and it helps us detect opportunities and risks.
What do you dislike about the product?
Lack of information when getting new updates
What problems is the product solving and how is that benefiting you?
It's helping us solve optimization problems as well as demand prediction in the short and long term.
Easy to use Data Analytics Platform
What do you like best about the product?
The UI is easy to use, it just take me small amount of time to learn and understand the concept related to Dataiku and can create my own flow. The CS is very responsive, the reply to my question very fast.
What do you dislike about the product?
I think Dataiku is already working with the latest trend of Ai, but I think it would be better if It include feature like the integrate between copilot & VS code, which allow seamless generation of code by AI
What problems is the product solving and how is that benefiting you?
Dataiku solves problems like complex data pipeline management, collaboration within teams, and automating repetitive AI/ML tasks. It benefits me by simplifying workflows with a visual interface, also me and my teammate could collaborate more easier in the platform.
Influencial
What do you like best about the product?
Approach to Agentic AI, presented during the demos
What do you dislike about the product?
Lack of Hands On Labs on the website. For developers its useful to try the Agentic approach in identifying areas of innovation
What problems is the product solving and how is that benefiting you?
We do not use Data Iku for now
Good
What do you like best about the product?
click and go approaches are easy and efficient
What do you dislike about the product?
I want to extract the code for the click and go operation that we conduct.
What problems is the product solving and how is that benefiting you?
increasing efficiency
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