Try our new research platform with insights from 80,000+ expert users
Dataiku Logo

Dataiku pros and cons

Vendor: Dataiku
4.1 out of 5

Pros & Cons summary

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.
Get the report

Prominent pros & cons

PROS

Dataiku offers GUI-based functionality with extensive compatibility across various data sources, leading to better automation and reduced errors.
It's advantageous for machine learning as users can access 'recipes' to preprocess and prepare data without coding.
Dataiku provides valuable workflow capabilities, fostering effective collaboration and traceability among teams.
Its cloud-based process ensures systems do not need to remain active, optimizing resource usage during runs.
Dataiku is recognized as a leader in the Gartner ranking, highlighting its prominence in the industry.

CONS

Server up-time and stability of query engines like Spark and Hive need improvement.
Processing 1.8 billion records is notably slow, taking five days.
SQL operations show bugs and incorrect results, and server downtime causes process failures.
Integration with collaboration tools like GitHub is complicated.
Technical support from Dataiku is inadequate, and the billing support raises concerns.
 

Dataiku Pros review quotes

Ravi-Srivastava - PeerSpot reviewer
Oct 14, 2025
The best feature in Dataiku is that once the data is connected in the underneath layer, it flows exceptionally smoothly if you know how to tweak it.
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.
Learn what your peers think about Dataiku. Get advice and tips from experienced pros sharing their opinions. Updated: November 2025.
873,209 professionals have used our research since 2012.
GN
Nov 28, 2019
The most valuable feature is the set of visual data preparation tools.
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.
reviewer1525251 - PeerSpot reviewer
Mar 6, 2025
Dataiku is highly regarded as it is a leader in the Gartner ranking.
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.
 

Dataiku Cons review quotes

Ravi-Srivastava - PeerSpot reviewer
Oct 14, 2025
In terms of enhancing collaboration within my team, I would not say Dataiku is the best one because it's so expensive.
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.
Learn what your peers think about Dataiku. Get advice and tips from experienced pros sharing their opinions. Updated: November 2025.
873,209 professionals have used our research since 2012.
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.
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.
reviewer1525251 - PeerSpot reviewer
Mar 6, 2025
The technical support from Dataiku is not good. The support team does not provide adequate assistance, and there are concerns about billing requests.
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.