My company sells licenses for both Dataiku and Alteryx, and we have clients who use them. I engage with several companies in telecommunications, retail, and energy to assess how our clients are utilizing these platforms.
Reviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
183 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Drag-and-drop platform accelerates model development with distributed compute engine
What is our primary use case?
What is most valuable?
The most valuable feature of Dataiku, in my opinion, is the possibility to use Spark, which is a distributed compute engine. This is a feature that is usually appreciated by our customers.
Additionally, the automation features have been impactful, particularly in the deployment phase, as we use what Dataiku calls deployer nodes. Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models since it is a drag-and-drop platform. Our clients can easily drag and drop components and use them on the spot.
What needs improvement?
There is room for improvement in terms of allowing for more code-based features. I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.
For how long have I used the solution?
I have been working with Dataiku for about three years.
What's my experience with pricing, setup cost, and licensing?
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies. However, it is a pricey solution and I primarily recommend it to bigger companies.
Which other solutions did I evaluate?
I researched products like Dataiku, Cloudera, and Databricks.
What other advice do I have?
I would give Dataiku an eight out of ten. Although I generally recommend Dataiku, it is mainly suited for companies that can afford it as it is a pricey solution.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Collaboration and traceability boost team's efficiency
What is our primary use case?
I use that IQ since I am preparing cohorts for health investment research.
What is most valuable?
Traceability and collaboration are essential for me. I have eight or nine engineers working together. Integration with machine learning is also crucial for us.
Additionally, traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another.
What needs improvement?
I need more experience in the sector, which is health. The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience.
For how long have I used the solution?
I have used the solution for six or seven years.
What do I think about the scalability of the solution?
The solution is scalable. I rate it nine out of ten.
How are customer service and support?
The customer service team is helpful and responsive, more or less on time. I rated them seven out of ten.
How would you rate customer service and support?
Neutral
How was the initial setup?
Deployment should take four or five hours, yet customization takes more time.
What about the implementation team?
Two or three engineers took part in the installation process.
What was our ROI?
I do not care about financial benefits, however, I am sure they exist. It has supported our compliance with industry regulations one hundred percent.
What's my experience with pricing, setup cost, and licensing?
There are no extra expenses beyond the existing licensing cost.
Which other solutions did I evaluate?
What other advice do I have?
The user interface is useful for collaborative tools that allow multiple professionals to work together.
I rate the overall product as eight out of ten.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
The platform organizes workflows visually and efficiently
What is our primary use case?
Dataiku is an AI platform that we use for oil and gas exploration. Even though I can't provide specific details, this is the primary use case for us.
What is most valuable?
One of the valuable features of Dataiku is the workflow capability. It allows us to organize a workflow efficiently. The platform has a visual interface, making it much easier for educated professionals to organize their work. This feature is useful because it simplifies tasks and eliminates the need for a data scientist. If you are knowledgeable about AI, you can directly write using primitive tools like Pantera flow, PyTorch, and Scikit-learn. However, Dataiku makes this process much easier.
What needs improvement?
One area for improvement is the need for more capabilities similar to those provided by NVIDIA for parallel machine learning training. We still encounter some integration issues.
For how long have I used the solution?
We have been using Dataiku for three years.
How are customer service and support?
Customer service is somewhat different because Dataiku partners with local industry experts who understand the business better and provide support. It can be challenging to determine the provider of better support, however, overall, the support is good.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We are only using Dataiku.
What was our ROI?
I believe the return on investment looks positive.
Which other solutions did I evaluate?
I considered another option that excels in parallel processing. However, it falls short in other areas. No product is perfect. If these two solutions worked together, it would be advantageous. Unfortunately, one has strengths in certain areas while the other excels in another.
What other advice do I have?
Why not? BHP sold the energy part to a company called Woodside. It has changed because they are now part of Woodside.
Overall, I rate the product eight out of ten.
Dataiku is very handy for advanced Data Analytics
What do you like best about the product?
Dataiku is very handy for advanced Data Analytics without need of any code,
Many business users especially from non analytics background people feels very isnightful using Dataiku. company CEO's top management people use this to get business insghts and I recommend this to every organisation to have such a great tool to get Business insights whcih can help in any analysis.
Many business users especially from non analytics background people feels very isnightful using Dataiku. company CEO's top management people use this to get business insghts and I recommend this to every organisation to have such a great tool to get Business insights whcih can help in any analysis.
What do you dislike about the product?
I dont htink it has any dislikes. It is very good
What problems is the product solving and how is that benefiting you?
Suppy chain analytics, Demand Forecasting, Marketing and Promotional anlaytics in Retail, CPG, Oil and Gas domain
Dataiku for Grad Student
What do you like best about the product?
Dataiku's interface is intuitive and easy to navigate, making it accessible for students who are new to data science. The drag-and-drop functionality and clear visual representation of data pipelines help in understanding complex workflows. Even with limited coding experience, I was able to build robust data models and analytics pipelines with ease.
What do you dislike about the product?
Can be resource-intensive, requiring robust hardware for optimal performance
Advanced features might have a steep learning curve for beginners
Pricing can be high for students and small projects
Advanced features might have a steep learning curve for beginners
Pricing can be high for students and small projects
What problems is the product solving and how is that benefiting you?
As an Indian student in the ML domain, I focus on solving business problems such as predicting consumer behavior to improve marketing strategies, performing sentiment analysis for brand monitoring, and optimizing SEO to enhance website visibility. I also work on fraud detection in online transactions, developing personalized recommendation systems to boost user engagement, and optimizing supply chain operations through predictive analytics. These solutions help businesses in the confectionery and CPG sectors drive growth and efficiency.
ML
What do you like best about the product?
model implementation is very good to understand
What do you dislike about the product?
website design may be modified in few areas
What problems is the product solving and how is that benefiting you?
learning about data and ML
Best AI Tool Available 2024
What do you like best about the product?
It's a platform that has all the functionalities that are needed by a developer on an everyday basis. Its so easy to use and integrate that the implementation can be done within a short amount of time. It has an excellent customer support that I would definitely use it frequently.
What do you dislike about the product?
For now I am satisfied by all the features it offers.
What problems is the product solving and how is that benefiting you?
It helped me deploy a code that was just in the execution phase and deliver it to my team so that they could use it everyday. Otherwise that code would have come into production.
very good
What do you like best about the product?
it is really helpful in cleaning and processing data
What do you dislike about the product?
i have nothing to dislike about Dataiku as of now
What problems is the product solving and how is that benefiting you?
Organising data
Functional Data Management and Analytics Tool
What do you like best about the product?
Dataiqu has a user-friendly interface that simplified data management and analysis for my team. It allows for great collaboration, allowing my team to share data and work together on projects.
What do you dislike about the product?
While Dataiku's user-friendly interface is nice, the platform isn't as powerful as others. Like any new software, there is a bit of a learning curve when getting started.
Lastly, my team found that the performance can be sluggish with large datasets.
Lastly, my team found that the performance can be sluggish with large datasets.
What problems is the product solving and how is that benefiting you?
Dataiku allows my team to prepare, analyze and collaborate on large datasets. It prevents us from working in a silo and allows us to share insights and use our collective ideas to further our marketing efforts.
Good user experience but limited capabilities
What do you like best about the product?
Robust tool, great capabilities and helped me automate some reports that I didnt need to spending time on every week.
What do you dislike about the product?
Can be difficult to figure out what all the tool does. User experience could be better.
What problems is the product solving and how is that benefiting you?
It makes working in large data sets faster. I can get more insghts faster and as a result have more time to do the other elements of my job.
showing 131 - 140