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Dataiku pros and cons

Vendor: Dataiku
4.1 out of 5
Badge Leader

Pros & Cons summary

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Prominent pros & cons

PROS

Dataiku facilitates the creation and management of ETL pipelines, allowing users to easily edit project steps.
Dataiku's intuitive platform supports data projects end to end with reusable templates, models, and recipes.
Dataiku is praised for its stability, excellent technical support, and high Gartner ranking.
The platform's low-code/no-code capabilities enable users to preprocess and prepare data without coding, enhancing machine learning focus.
Dataiku's extensive workflow capability and visual data preparation tools simplify data management and model building.

CONS

Dataiku experiences frequent downtime, affecting workflow and efficiency.
Technical support is inadequate, often delaying responses, especially regarding product issues.
Collaboration features are lacking, complicated by expensive pricing and licensing models.
Scalability and server uptime need improvement, with concerns about query engine stability.
Data transfer and processing can be slow, taking longer than expected for operations.
 

Dataiku Pros review quotes

it_user837543 - PeerSpot reviewer
Senior Business Technology Analyst at a consultancy with 5,001-10,000 employees
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
Practice Manager Data Intelligence at a tech services company with 1,001-5,000 employees
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.
GN
Principal Full Stack Data Scientist at ICTeam
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: April 2026.
885,880 professionals have used our research since 2012.
MG
Business Intelligence Developer/ Data Scientist at a tech services company with 11-50 employees
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
Data Scientist II at Alumnus Software Ltd.
Sep 2, 2020
The solution is quite stable.
Hamdi Charksi - PeerSpot reviewer
Senior Data Engineer at One Point
Apr 8, 2022
Data Science Studio's data science model is very useful.
RK
Consultant at Netsoft
May 17, 2024
If many teams are collaborating and sharing Jupyter notebooks, it's very useful.
Sabrine Bendimerad - PeerSpot reviewer
Data Scientist at Electricite De France
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.
RichardXu - PeerSpot reviewer
Data Science Lead at a mining and metals company with 10,001+ employees
Jan 6, 2025
One of the valuable features of Dataiku is the workflow capability.
RR
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
Jan 13, 2025
Traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another.
 

Dataiku Cons review quotes

it_user837543 - PeerSpot reviewer
Senior Business Technology Analyst at a consultancy with 5,001-10,000 employees
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
Practice Manager Data Intelligence at a tech services company with 1,001-5,000 employees
Nov 13, 2019
The ability to have charts right from the explorer would be an improvement.
GN
Principal Full Stack Data Scientist at ICTeam
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: April 2026.
885,880 professionals have used our research since 2012.
MG
Business Intelligence Developer/ Data Scientist at a tech services company with 11-50 employees
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
Data Scientist II at Alumnus Software Ltd.
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.
Hamdi Charksi - PeerSpot reviewer
Senior Data Engineer at One Point
Apr 8, 2022
I think it would help if Data Science Studio added some more features and improved the data model.
RK
Consultant at Netsoft
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.
Sabrine Bendimerad - PeerSpot reviewer
Data Scientist at Electricite De France
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.
RichardXu - PeerSpot reviewer
Data Science Lead at a mining and metals company with 10,001+ employees
Jan 6, 2025
We still encounter some integration issues.
RR
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
Jan 13, 2025
The license is very expensive.