Dataiku

What differentiates Dataiku from other similar products?

Dataiku is my daily tool for machine learning model development and maintenance. It’s super easy to integrate our database into the platform and further clean the data for building models. Dataiku provides a one-stop-shop for ML.

What is your favorite aspect of this product?

One-stop-shop for ML from pulling data to model deployment

What do you dislike most about this product?

Team collaboration feature could be better

What recommendations would you give to someone considering this product?

Great product with lots of features we need

What differentiates Dataiku from other similar products?

I like the pliability to ingest different data sources. The program is intuitive and permits you to transfer data into a project with many clicks. Also, the portfolio of recipes and algorithms facilitates expediting the development of various algorithms. One exercise that I’d prefer to do is to check the time-saving opportunities that I can have with this kind of tool. Dataiku DSS is a complete data science tool with a big selection of applications. It has everything you’ll ask for.

What is your favorite aspect of this product?

Easy use because of the presence of all majorly applied operations as direct ‘recipes’. And also, the visual flow component helps keep track of things most intuitively. DSS is a powerful tool for information science work. It gives you the best suggestion that the algorithm is best for your analysis. I even have used it primarily for data preparation and data analysis purpose. It‘s straightforward to use and reuse your data flow creating this extremely cool.

What do you dislike most about this product?

If not properly managed, the flows will become massive and tough to manage- I notice the visual arrangement side of the tool to be a touch lacking. The two options of anchor and free flow each have their downsides. Anchor works fine just for smaller flows.

What recommendations would you give to someone considering this product?

I’d advocate obtaining the certification. That’s a decent way to get your hands on using real-world issues to explore thoroughly the various functionalities of the software. Also, have a data catalog to grasp all the components of your data.

What differentiates Dataiku from other similar products?

Dataiku DSS integrates well with multiple data sources such as RDBMS databases, Amazon S3, etc. It allows users to collaborate and keep track of user contributions in the project. Dataiku DSS sets default values of hyperparameters for initial model training, which can be altered based on user needs. Overall, Dataiku DSS provides a single platform to implement end-to-end project deployment. Integration with RESTful APIs is a common example.

What is your favorite aspect of this product?

The product allows multiple user collaboration, and thus each user can individually focus on their respective modules. Secondly, Dataiku DSS can be used by coders and non-coders alike. Implementation of machine learning algorithms does not get limited to coders.

What do you dislike most about this product?

Dataiku DSS is a recently launched product, hence the customer support is still in it's early stages. Very limited blogs/support service websites are available at the moment.

What recommendations would you give to someone considering this product?

A go-to product. Definitely a one-stop tool for all machine learning and deployment applications.