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Dataiku pros and cons

Vendor: Dataiku
4.0 out of 5
1,127 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Dataiku is extremely easy to use with GUI-based functionality and large compatibility with various data sources, making it adaptable and efficient.
Automated maintenance processes reduce errors and improve efficiency, providing a seamless experience for users.
Dataiku's cloud-based processes allow running tasks without needing to keep systems on, optimizing resource utilization.
Dataiku's visual data preparation tools enhance user experience by simplifying complex data tasks without the need for extensive coding.
Dataiku's workflow and collaboration capabilities, including sharing Jupyter notebooks, facilitate teamwork and enhance operational efficiency.

CONS

Server uptime needs improvement, and query engines like Spark and Hive require more stability.
Processing time for large data sets is notably slow, with significant delays observed.
There are stability issues with SQL operations, bugs, and server downtimes affecting processes.
Integration with GitHub for code management poses challenges for developers.
Licensing costs are high, with a need for options catering to simpler requirements.
 

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: February 2025.
838,640 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.
RR
Jan 13, 2025
Traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another.
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.
RichardXu - PeerSpot reviewer
Jan 6, 2025
One of the valuable features of Dataiku is the workflow capability.
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: February 2025.
838,640 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.
RR
Jan 13, 2025
The license is very expensive.
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.
RichardXu - PeerSpot reviewer
Jan 6, 2025
We still encounter some integration issues.
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.