Dataiku Trial
DataikuExternal reviews
188 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Excellent Tool & Fantastic Opportunities
What do you like best about the product?
Excellent tool and rich features with a great user interface.
What do you dislike about the product?
The ability to move flow zones and individual pieces/components around to better flows and management.
What problems is the product solving and how is that benefiting you?
I am using it for data analytics and insights as well as data prep. I want to expand to use it for AI and agents.
All in one power tool for all things data
What do you like best about the product?
From ingestion to deployment, every step of the process is a breeze.
What do you dislike about the product?
No concerns at this time. I am still learning the product.
What problems is the product solving and how is that benefiting you?
Healthcare cost insight and predictive modeling.
AI conference
What do you like best about the product?
Dataiku provides a unified platform that covers a wide range of the data science lifecycle. Users appreciate being able to connect to data, prepare it, build and evaluate machine learning models (using both AutoML and code), deploy models, visualize results, and manage governance all within one environment.
What do you dislike about the product?
The licensing cost is frequently mentioned as a significant drawback, potentially putting it out of reach for smaller organizations or teams. Some users feel there's a lack of suitable pricing tiers below the full enterprise offering.
What problems is the product solving and how is that benefiting you?
Low code is the best
My Dataiku experience
What do you like best about the product?
Always delivers what it promises. Very intuitive features and logic building capabilities.
What do you dislike about the product?
Perhaps more marketing events in Germany would help.
What problems is the product solving and how is that benefiting you?
Potentially - Visual ML capabilities to encourage line coders
Awsome
What do you like best about the product?
It’s an awesome low code no code data science platform
What do you dislike about the product?
I can’t think of anything apart from some of the missing plugins
What problems is the product solving and how is that benefiting you?
Data transformation
Model building
Model building
Dataiku does it all - support for the full data pipeline.
What do you like best about the product?
Easy to switch between clicking and coding, plus support for SQL, Python, and R. The customer support is outstanding - they really know the product and are very responsive.
What do you dislike about the product?
Can't move icons around on the screen - they are placed randomly and haphazardly.
What problems is the product solving and how is that benefiting you?
Data orchestration, data analysis and ETL, collaboration with other teams.
Grow applications and ROI helping business units
What do you like best about the product?
Very simple to learn and use and integrate to your environment no matter which cloud provider you use.
Streamlined interface.
With Dataiku you can easily serve a lot of clients in the company: IT and business units.
Helps to democratize access to information and creation of applications.
Reuse code ... you have in Python ... use it.
Implementing Dataiku is straightforward.
Customer support really works
Streamlined interface.
With Dataiku you can easily serve a lot of clients in the company: IT and business units.
Helps to democratize access to information and creation of applications.
Reuse code ... you have in Python ... use it.
Implementing Dataiku is straightforward.
Customer support really works
What do you dislike about the product?
There is no simple and scalable price model for Gen AI applications.
Dataiku Answers can be much more powerful ,,, it should exploit a data model more easily and give you graphs and not only text as answers.
Dataiku Answers can be much more powerful ,,, it should exploit a data model more easily and give you graphs and not only text as answers.
What problems is the product solving and how is that benefiting you?
- Creating Gen AI Agents (Bots)
- Solving Churn (early detecting leaving customers)
- Replacing SAS or some processes
- Creating demand forecasting models
- Replacing hand labour (Excel, CSV, text) processing.
- Solving Churn (early detecting leaving customers)
- Replacing SAS or some processes
- Creating demand forecasting models
- Replacing hand labour (Excel, CSV, text) processing.
Best-in-class, intuitive UI and UX, outstanding training offerings
What do you like best about the product?
Dataiku makes working with generative artificial intelligence simple. The platform is clear and easy to use, even if you're not a data expert. Building a GenAI project is intuitive and fast.
Also, it is easy to try things and adjust without getting stuck.
I value the diversity of training options, too. Dataiku offers self-paced learning possibilities, demos, and articles. There is a format for everyone, and they have made me more confident when using GenAI.
Also, it is easy to try things and adjust without getting stuck.
I value the diversity of training options, too. Dataiku offers self-paced learning possibilities, demos, and articles. There is a format for everyone, and they have made me more confident when using GenAI.
What do you dislike about the product?
Some demos fill up quickly, but this usually is not a big problem.
What problems is the product solving and how is that benefiting you?
Dataiku steepens my GenAI learning curve.
My daily use Data Platform
What do you like best about the product?
Like their company motto, Dataiku is our "Everyday AI" platform. From data preparation and Exploratory Data Analysis (EDA), to MLOps and AI models, Dataiku has everything we need to streamline our analytic and AI needs.
Integrating our heterogeneous data sources is simple, and allows our staff to find the data they need and enrich it in just a few steps. The team administrating the platform at our organization can focus all their efforts in providing support and onboarding to our new users, and be sure to have the expert and excellent Dataiku support when needed.
Today, around 20% of our organization's staff uses Dataiku at least once a week, to consume reports and dashboards, or to do their own analysis, thus making the decision making process a more efficient and robust one.
Integrating our heterogeneous data sources is simple, and allows our staff to find the data they need and enrich it in just a few steps. The team administrating the platform at our organization can focus all their efforts in providing support and onboarding to our new users, and be sure to have the expert and excellent Dataiku support when needed.
Today, around 20% of our organization's staff uses Dataiku at least once a week, to consume reports and dashboards, or to do their own analysis, thus making the decision making process a more efficient and robust one.
What do you dislike about the product?
For some users, specially those used to doing all their tasks with code, the onboarding can be challenging. They might struggle to find the added value if they don't have a specific use case to start from.
What problems is the product solving and how is that benefiting you?
Dataiku is solving our problem of producing consistent reports and improving our operations with readily available reports.
Great platform for practical EDA and ML purposes
What do you like best about the product?
You'd be hard pressed to create a platform with greater ease of use than Dataiku. Moving around the UI while performing data analytics or when showcasing the work performed by the team is seamless / effortless. New features also come out regularly and are constantly improving the platform. Ease of implementing the platform with other tools, such as Snowflake and Power BI, is also much appreciated.
What do you dislike about the product?
Projects can get unruly once they become large enough. This can be alleviated by creating many flow zones.
What problems is the product solving and how is that benefiting you?
Forecasting customer demand using data ingesting, prep, and time series analysis has been super valuable.
showing 41 - 50