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Dataiku breaks down barriers
What do you like best about the product?
Dataiku creates a collaborative environment for technical and non-technical users to bring AI to life. Dataiku breaks down barriers to entry with low/no-code, allowing users of all levels to gain experience and confidence in data science.
What do you dislike about the product?
I'd be reaching for issues here but maybe some elements of the user interface could be improved?
What problems is the product solving and how is that benefiting you?
Democratizing analytics via agentic AI; saving time, bandwidth, etc. by outsourcing time-consuming and repetitive analyses (both via agentic AI and ML models)
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Great Orchastation tool
What do you like best about the product?
It is a great tool to use as a data analyst.
Great to track data from different sources in a single place
Great to track data from different sources in a single place
What do you dislike about the product?
Will need more comprehensive material to train new programmers
What problems is the product solving and how is that benefiting you?
We are doing a poc to build a agent to help service center executived of one only our insurance client on different products they offer. Dataiku is being used as pri.arh platform to do the poc
Flexible, Usable but not perfect.
What do you like best about the product?
Dataiku has been a game-changer in democratizing data workflows. I love how intuitive it is for cross-functional teams to build pipelines, transform datasets, and collaborate all within a visual flow and massage the data. It’s the kind of tool that makes manipulation effortless, experimentation easy, and sharing work frictionless.
What do you dislike about the product?
As much as I appreciate how approachable and feature-rich Dataiku is, there are moments where its flexibility feels like a double-edged sword. Some use cases become surprisingly complex due to very recipe logic, and handling parameterized or reusable workflows can feel clunky.
It can also be slow as a cloud-based platform, with multiple users editing single workflows. It gets the job done—but sometimes you just wish it handled faster, cleaner, more tactile.
It can also be slow as a cloud-based platform, with multiple users editing single workflows. It gets the job done—but sometimes you just wish it handled faster, cleaner, more tactile.
What problems is the product solving and how is that benefiting you?
Dataiku is the backbone for new data warehouse. It's been essential in uncovering decentralized logic and hidden SQL ( tribal knowledge . the visual flows makes transformations traceable and reproducible. The tool succeeds in getting the many different teams working with a single source of truth and eliminating the several different versions that previously floated around the org and lastly, allows for faster delivery capabilities.
One-stop shop for all analytics and ML needs
What do you like best about the product?
I love how Dataiku allows for such seamless creation and implementation of ML models. It offers the ability to seamlessly collaborate and integrate with workflow with colleagues.
What do you dislike about the product?
Dataiku has a decent learning curve if you are coming from a non-technical background.
What problems is the product solving and how is that benefiting you?
Dataiku is allowing me to solve data analytics problems that maybe take a few minutes in Python in mere seconds. It saves me a considerable amount of time in the long run.
Reduction of time to value
What do you like best about the product?
Visual layout makes data transformation more clear. Built in tools speed up development time in particular with tools like the LLM recipes and ML model "battle"
What do you dislike about the product?
I have noticed inconsistencies with how code is executed in a python notebook vs a python recipe. Sometimes that works in a recipe doesn't work in a notebook. Refusal to add global dark mode.
What problems is the product solving and how is that benefiting you?
Simplifying the use and deployment of LLM projects in friendly interface.
A comprehensive platform - Dataiku
What do you like best about the product?
Ability to help technical and non-technical users alike
What do you dislike about the product?
Slowness in handling extra large datasets
What problems is the product solving and how is that benefiting you?
Cohort discovery, Licensing portal, bill analysis
Very user friendly
What do you like best about the product?
I think super friendly. And best part about it it’s all in one. You do not have to navigate to multiple applications to from building the model or creating a flow.
What do you dislike about the product?
So far I don’t have any complaints about Dataiku it’s working fine for me.
What problems is the product solving and how is that benefiting you?
It’s providing me a platform where I perform all the data curation as well as analysis of data in single platform. And provide insights to stakeholders.
Great overall experience
What do you like best about the product?
The ease of use low code no code so all users can use
What do you dislike about the product?
Explanation on new capabilities because new ones come out
What problems is the product solving and how is that benefiting you?
Helping different teams connect on different projects regardless of level
Easy and flexible tool for any type of user
What do you like best about the product?
Dataiku is a user-friendly and powerful data science platform that enables both technical and non-technical users to build, deploy, and manage AI projects collaboratively. With visual workflows, AutoML, and support for Python, R, and SQL, it balances simplicity with flexibility. Its strong integration, governance, and MLOps features make it ideal for scaling data initiatives across teams and industries. Great for accelerating data-driven decision-making.
What do you dislike about the product?
None.
Sometimes tool gets stuck in running complex jobs
Sometimes tool gets stuck in running complex jobs
What problems is the product solving and how is that benefiting you?
Quick analytical insights to daily business decisions
Fantastic Data Tools for Low Code as well for Coding Analysts
What do you like best about the product?
It's one stop shop for all my data analysis need
What do you dislike about the product?
Sometimes it's a bit of a drag in certain newer features but that gets better as it's stabilizes
What problems is the product solving and how is that benefiting you?
Data curation for Data Science, AI teams.
Making the lives of Data Analysts and Scientists easier.
Making the lives of Data Analysts and Scientists easier.
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