Dataiku DSS: Click or code--the choice is yours!
Overall Satisfaction with Dataiku DSS
I work for a client who's implementing all their data science solutions on Dataiku DSS. I have been working on implementing these solutions for my client for over a year now. Currently, it is channeled through the IT department and we have expanded across multiple departments ranging from finance to sales. We have implemented multiple time series forecasting projects, NLP, business optimization as well as customized analytics data flow for the finance department.
Pros
- The intuitiveness of this tool is very good.
- Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
- The way you can control things, the set of APIs gives a lot of flexibility to a developer.
Cons
- The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
- When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
- Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
- So far it has had a positive impact. Multiple departments are coming to us with their business problems.
- I can't specifically say about ROI as I'm a developer, though I have heard this solution is economical compared to other AI/ML enterprise tools.
- By using this tool, my client has let go of software that was used earlier, and we have created a simpler framework to replace that software.
I cannot comment on it as I have not used these tools as such.
Do you think Dataiku delivers good value for the price?
Not sure
Are you happy with Dataiku's feature set?
Yes
Did Dataiku live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Dataiku go as expected?
Yes
Would you buy Dataiku again?
Yes
Comments
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