It’s very user-friendly. New members of our team can quickly get started, whether they’re picking up pre-existing projects or creating their own. I also really like that you can mix different coding languages within the same flow. Another strong point for me is the range of integrations with most major platforms: Databricks, AWS, Teradata, SharePoint, etc. Performance-wise, it’s good. It’s not the best, although that may be related to our current cluster configuration. I’ve also noticed that training ML models can sometimes fail for different reasons, and it can be a bit daunting to figure out exactly why and debug the issue. Dataiku support is quite good. I wasn’t a fan of customer support being limited to email, but I have to say the responses are fast and the attention has been solid. Pricing is also quite competitive. Fixed pricing tied to licenses works well for our team. Finally, I’ve been enjoying the latest AI features they’ve added. Being able to easily describe recipes or generate documentation is definitely a plus.

What I like the most about Dataiku is that it is mostly a no-code platform, and allows technical, and non-technical users to collaborate in an easy way. It is extremely easy to share workbooks between coworkers, easy to set-up (using the web version with any browser - Edge, Chrome, etc.). The visual recipes make it easy to understand the flow of the pipeline, while also having the flexibility of adding Python or SQL when necessary. For data preparation, automation, and building repeatable workflows, I can say it's the best ETL platform I have used. We use Alteryx in our company, but we are starting to implement our workflows and apps inside Dataiku instead of Alteryx.

I like how intuitive Dataiku is, how easy it is to learn to use, and the fluidity of the software. It makes pipelines much more understandable, facilitating their creation and maintenance. I also like that the changes I make mostly propagate throughout the flow; for example, if I change the name of a table, the recipe that uses it updates automatically. Additionally, if I connect a table somewhere else in the flow, the flow adjusts automatically to maintain a certain order.