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Dataiku pros and cons

Vendor: Dataiku
4.0 out of 5
1,124 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Intuitive visual interface 
Strong collaboration features 
Extensive range of built-in connectors and integrations 
Robust scalability options 
Provides thorough documentation and an active community forum

CONS

Steep learning curve for beginners 
Limited customization options for advanced users
Performance issues with large datasets
 

Dataiku Pros review quotes

MG
Dec 4, 2019
I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.
DS
Sep 2, 2020
The solution is quite stable.
GN
Nov 28, 2019
The most valuable feature is the set of visual data preparation tools.
Learn what your peers think about Dataiku. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,053 professionals have used our research since 2012.
Sabrine Bendimerad - PeerSpot reviewer
Jun 11, 2024
The advantage is that you can focus on machine learning while having access to what they call 'recipes.' These recipes allow me to preprocess and prepare data without writing any code.
RK
May 17, 2024
If many teams are collaborating and sharing Jupyter notebooks, it's very useful.
it_user837543 - PeerSpot reviewer
Mar 14, 2018
Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors.
reviewer1014468 - PeerSpot reviewer
Nov 13, 2019
The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction.
Hamdi Charksi - PeerSpot reviewer
Apr 8, 2022
Data Science Studio's data science model is very useful.
 

Dataiku Cons review quotes

MG
Dec 4, 2019
I find that it is a little slow during use. It takes more time than I would expect for operations to complete.
DS
Sep 2, 2020
The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective.
GN
Nov 28, 2019
In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin.
Learn what your peers think about Dataiku. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,053 professionals have used our research since 2012.
Sabrine Bendimerad - PeerSpot reviewer
Jun 11, 2024
One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated.
RK
May 17, 2024
Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku.
it_user837543 - PeerSpot reviewer
Mar 14, 2018
Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable.
reviewer1014468 - PeerSpot reviewer
Nov 13, 2019
The ability to have charts right from the explorer would be an improvement.
Hamdi Charksi - PeerSpot reviewer
Apr 8, 2022
I think it would help if Data Science Studio added some more features and improved the data model.