Course5 Discovery vs. Dataiku DSS

We rely heavily on Course5 for our business decisions every day. It gives us insights that we were really missing before getting set up with Course5.

Incentivized

Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.

Incentivized

• Data Visualization.
• Predictive Modeling.
• Trend Analysis.
• Data Analysis.

Incentivized

• 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.

Incentivized

• I do wish there was a feature that keeps a dynamic list of company benchmarks that update in real-time and use that to be a comparison goal line in metrics.
• Some of the SQL syntax highlighting/auto-completion will not work.
• Sometimes text widgets will just "disappear" after I have dragged them onto the canvas.

Incentivized

• End product deployment.

Incentivized

As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.

Incentivized

The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.

Incentivized

Having the ability to see data from so many sources for our finance, support, marketing, and sales departments at a glance without having to pull data every day and make pivot tables each time is absolutely critical for us. Our leadership team is able to make crucial business decisions more quickly and more easily thanks to Course5.

Incentivized

Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.

Incentivized

• We saved time because the analytics were presented in a way that made sense.
• Return on Investment.
• Scalability as a company.

Incentivized

• Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
• Platform also ease tracking of data processing workflow, unlike Excel.
• Build-in data visualizations covers many use cases with minimal customization; time saver.

Incentivized