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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
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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
Its one of the smoothest transition for Data files
What do you like best about the product?
Its really easy to join different servers and get the extract into one other server which makes a hard part easy for me by writing different SQL queries
What do you dislike about the product?
I am still working on the application, but I see that there are not more plug ins for Power BI. If it was possible to send the extract file directly to Power BI that would help a lot for BI's
What problems is the product solving and how is that benefiting you?
I wont need to write different SQL queries to get data out of different servers and also helps me to build a predictive analysis for maintenance shop
Informational and Exciting Experience
What do you like best about the product?
Dataiku offers a multitude of benefits that make it an invaluable tool for organizations looking to leverage their data effectively. My favorite things is that its collaborative environment, which fosters teamwork among data scientists, analysts, and business users, enabling them to share insights and work together seamlessly.
What do you dislike about the product?
A couple of things that I dislike about Dataiku, specifically within my organization is that we have had many unannounced errors arise. We could have a flow working for a lengthy period of time then one day it no longer works due to an error. These random errors can stop normal daily tasks to have to investigate errors that were not originally an issue.
What problems is the product solving and how is that benefiting you?
Dataiku has allowed for me to take large forms of data and conduct calculations as well as summarize to use in business each day. Dataiku also allows for me to take this data and add even more information to be able to calculate forecasts and future possible outcomes.
Data analytics
What do you like best about the product?
As a Data Engineer I like Data Analytics part and we can use AI to do that
What do you dislike about the product?
I don't see any thing as of now, I need to explore more to dislike about DataIku.
What problems is the product solving and how is that benefiting you?
I can connect all my different data sources and I don't need to worry everting is on one platform now results in expediting my ETL process.
Beginner level soon replacing Alteryx with Dataiku
What do you like best about the product?
The ability to democratize data science by making it accessible to teams with varying technical backgrounds, simplifying data access, and enabling collaboration across different roles
What do you dislike about the product?
Challenging to replicate or apply data preparation pipelines in a straightforward manner
What problems is the product solving and how is that benefiting you?
Using to optimize pharmaceutical product positioning based on financial implications
Experience was insightful and knowledgeable as u get to know about the working of LLMS etc
What do you like best about the product?
Tbh how it simplifies complex data science tasks workflows etc.
What do you dislike about the product?
Expensive for smaller orgs and mastering it's advanced analytics might be a bit tough. And running complex tasks is resource requiring robust infra
What problems is the product solving and how is that benefiting you?
Things related to sustainable fraud mitigation and AML
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