Dataiku Trial
DataikuExternal reviews
205 reviews
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Citizen data analyst
What do you like best about the product?
The learning curve was easy. The trainings are readily available to go back to frequently. The videos are short yet adequate for learning purposes. The sample projects being sectioned into different learning sections made it easy to isolate and learn one functionality at a time. The capability to use python recipes without prior knowledge of python.
What do you dislike about the product?
Running into error message that sometimes are hard to figure out with limited debugging options that are free.
What problems is the product solving and how is that benefiting you?
Automating repetitive tasks that are otherwise time consuming, labor intensive and prone to errors.
Forecasting and predictive analysis. providing business teams with reliable forecasts to use for business planning.
Forecasting and predictive analysis. providing business teams with reliable forecasts to use for business planning.
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
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
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.
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
Alteryx to Dataiku Convert
What do you like best about the product?
Dataiku is very flexible and allows me to utilize fewer tools compared to Alteryx. This has allowed me to create smaller flows making them easier to follow.
What do you dislike about the product?
It can be hard to find certain steps since there are many tools inside of one tool.
What problems is the product solving and how is that benefiting you?
I work with a lot of data, especially dirty data and Dataiku allows me to manipulate the data I receive and turn it into something I can interpret.
Positive experiences using dataiku
What do you like best about the product?
I appreciate the low code environment. Makes it easier for a newer user to understand.
What do you dislike about the product?
Although there are plenty of resources to review use cases, it can be unintuitive for new users.
What problems is the product solving and how is that benefiting you?
Using the OCR capabilities to read and extract data from high volumes of documents uploaded to our sharepoint folder.
Dataiku Makes Data Analytics Accessible to End Users
What do you like best about the product?
Dataiku’s vast connections to different data structures allows backend users to connect multiple end users’ data together to make meaningful connections for the end users through user friendly and customizable web apps.
What do you dislike about the product?
Even though Dataiku is great in many aspects, understanding all that is has to offer takes some time and I am always finding new things I didn’t know it could do. Understanding how it can be combined with what we have already is challenging.
What problems is the product solving and how is that benefiting you?
Being able to have technical and non technical users in the same space allowing for technical users to build in the same platform the end users can view.
New User to Dataiku
What do you like best about the product?
I like the possibilities of the AI features of Dataiku. I am a new user so I do not have a lot of use yet.
What do you dislike about the product?
I have limited use at the moment so I do not any dislikes so far. My company is transferring all of our Alteryx workflows to Dataiku. Alteryx is my mine tool that I utilize. My only dislike is the amount of time it'll take to transfer all workflows to Dataiku.
What problems is the product solving and how is that benefiting you?
Dataiku will be taking the place of all Alteryx workflows
Revolutionizing the way we interact with data
What do you like best about the product?
Dataiku is unbelievably easy to use and implement. It is almost unreal how powerful it is but even with all of the power behind it the set up and mapping is so intuitive you feel like you must be missing steps. It is slowly becoming a daily used system for our company and a cornerstone as we start to modernize our data. The support we have received from the internal team has been nothing short of fantastic. They are there to answer questions, walk you through implementations, and make the already easy integration process, even easier.
What do you dislike about the product?
I haven't found anything I have disliked up until this point.
What problems is the product solving and how is that benefiting you?
We wanted a solution that would allow non technical people interact with our data and gain insights. We wanted them to be able to do this independently and without having a team of report order takers to fulfill requests or random questions. That team still exists but for larger and more strategic requests.
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