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A better way to journey through the path of AI
What do you like best about the product?
Its sheer capabilities of providing almost every aspect of AI project in low code no code way, its been long I did a genuine coding in a project thanks to the dataiku features that makes my job smooth and easy.
Customer support is very very prompt and responsive, never I need to wait for more than 4 hours for a response to any query I raised.
Customer support is very very prompt and responsive, never I need to wait for more than 4 hours for a response to any query I raised.
What do you dislike about the product?
I understand aggresive version release to keep up with the progress in GenAI field. but in any actual organization its not so easy to keep upgrading version every alternate month. I would love to see some major feature coming out as version release also provide as patch or plugin for previous version to avoid forcing to upgrade everytime.
What problems is the product solving and how is that benefiting you?
We are able to provide our non technical employees a place to develop their idea. So we manage a dataiku platform with centralize architecture that let me as administrator manage the platform and keep my user free of worry and let them focus on use case.
Great tool!
What do you like best about the product?
Easy to use with premade prepare recipes, especially for those with limited coding experience
What do you dislike about the product?
Difficult to undo any mistakes!especially when accidentally deleting a recipe
What problems is the product solving and how is that benefiting you?
Helps clean messy data efficiently
Awesome
What do you like best about the product?
User friendly interface and designed highly technical features enabled
What do you dislike about the product?
Little more elaborate or lengthy process
What problems is the product solving and how is that benefiting you?
Planning analytics
Great Informaion. Gave me Perspectives on IA and how use by real companies
What do you like best about the product?
What I liked most about the Dataiku AI Conference was how down-to-earth it all felt, even with all the high-tech talk. They made big ideas like Generative AI and machine learning easy to understand and actually useful for real businesses. The hands-on demos were solid, and you could tell they put thought into making sure folks from all walks of life felt welcome. It wasn’t just smart—it was practical, and that’s what really stuck with me.
What do you dislike about the product?
One thing they could do better is cut down a bit on the buzzwords and tech lingo—sometimes it felt like they were talking to a room full of data scientists only. It’d be great if they offered more sessions geared toward small business folks or hands-on pros who want to use AI without needing a PhD. Also, a few more real-world case studies from regular companies—not just the big guys—would help show how this stuff works in the everyday world. Keep it smart, but make it more relatable.
What problems is the product solving and how is that benefiting you?
The real estate model was very impressive. makes me think of what could be possible for me.
Dataiku great data science platform
What do you like best about the product?
Dataiku is very user friendly low code/no code platform for AI/ML capabilities
What do you dislike about the product?
More infrastructure compatibility and Flexibility in integrations
What problems is the product solving and how is that benefiting you?
It has really made users to be able to build low code quick prototypes for testing very easy and accessible.
Dataiku: A High‑Octane Launchpad with Smart Checks and Balances
What do you like best about the product?
Rapid proof‑of‑value: Visual flows & pre‑built connectors allowing to demo a live model on client data within days.
Lower change‑management load: Because both power users and casual business folks stay in one UI, training overhead and resistance drops sharply.
Smooth exit strategy: Strong vendor support and vibrant community let you hand over the keys without “consultant lock‑in” fears.
Future‑proofing: Frequent releases add integrations (e.g., Snowflake Cortex, Vertex AI) are fast enough that the architecture diagrams don’t age out during mid project.
Lower change‑management load: Because both power users and casual business folks stay in one UI, training overhead and resistance drops sharply.
Smooth exit strategy: Strong vendor support and vibrant community let you hand over the keys without “consultant lock‑in” fears.
Future‑proofing: Frequent releases add integrations (e.g., Snowflake Cortex, Vertex AI) are fast enough that the architecture diagrams don’t age out during mid project.
What do you dislike about the product?
Steep license jumps once viewer counts or premium add‑ons grow - budget surprises at renewal.
High compute appetite inflates cloud/on‑prem costs.
Plugin/Python drift community plugins and shared environments break on upgrades without strict version pinning.
Advanced features’ learning curve stalls adoption if you skip structured enablement.
UI lag on projects with thousands of datasets pushes you to shared workspaces.
High compute appetite inflates cloud/on‑prem costs.
Plugin/Python drift community plugins and shared environments break on upgrades without strict version pinning.
Advanced features’ learning curve stalls adoption if you skip structured enablement.
UI lag on projects with thousands of datasets pushes you to shared workspaces.
What problems is the product solving and how is that benefiting you?
low code no code platform for enabling end business users
Company with good use cases to support for AI
What do you like best about the product?
Great AI shop for getting to learn about AI and get up to speed on integrating AI in your tech space.
What do you dislike about the product?
Currently could not come across anything which could be disliked.
What problems is the product solving and how is that benefiting you?
We are still in the early stages of integrating AI in the workplace. Dataiku is helping in understanding the different use cases in the IT space
Dataiku review
What do you like best about the product?
I love the platform, it's intuitive and very useful. The llm recipes are especially useful. Overall I think its a great platform, it looks great, it makes sense, and it definetely allows me to do my work quicker.
What do you dislike about the product?
The actual support hasn't always been the best. I've often reached out for support and wasted a lot of time going back and forth without resolving a problem, only to be told that the person trying to help me doesn't know as much on the cloud version of dataiku. The documentation is never cloud-specific too so it's a little confusing. The process through which dataiku have been working out a use case for us has also had some difficulties,
What problems is the product solving and how is that benefiting you?
We are still testing out dataiku, seeing what it can do for us, but so far it's made simple data transformations a lot easier. We are also using some of the traditional data modelling and some traditional ML features. It's been most useful for using llms, allowing us to summarize and extract data from free text, giving us data that we've not been able to access until now
The closest thing to end-to-end data analytics available.
What do you like best about the product?
Dataiku combines the best features on data exploration, data pipelines, Dev Ops, data visualization, web apps development, machine learning, and generative AI. They are always adding new features, and they are constantly taking feedback and requests from the development community for new features.
What do you dislike about the product?
There can be some translation issues with the terminology used in the product. I would also like to see a semantic layer feature instead of every transformation step writing a new table
What problems is the product solving and how is that benefiting you?
Dataiku allows me to move from prototype to production quickly. During problem solving sessions, I can pull in data from many different sources to analyze and create a report or dashboard to monitor the situation without leaving the tool.
We work closely with dataiku with our data scientist in ou AI Factory
What do you like best about the product?
Things are easy, it boosts productivity and honestly it hasn't been this easy building with ai anywhere else
What do you dislike about the product?
I don't think i have any remark for now it is very hands on with the new topics so i am fine for now
What problems is the product solving and how is that benefiting you?
we use it for many usecase integrating ai in the bank
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