Overall Satisfaction with IBM Data Science Experience (DSx)
My organization is currently going thru an expansion process, from being solely a consulting company to creating and developing products itself and for this expansion, a new team was assembled, the Research & Development team and I'm part of this team. As part of our research to create products that are really relevant to the market we are aiming at, and since we're already are a gold level IBM partner organization, it made sense for us to acquire knowledge with IBM DSx in order to maximize our efficiency and develop better products.
- Feature rich. IBM DSx provides a plethora of tools to leverage the use of data science in your organization and suit your specific needs.
- IBM DSx supports a huge variety of sources of data. From your traditional SQL database to every major data warehouse, IBM DSx does a great job at connecting to or pulling from your data source.
- Its greatest strength is the fact that is a cloud-based service. There's no need to waste time on configuring and maintaining an environment to start analyzing data, which may not be an easy task.
- Pricing. The price for this product is quite steep and, since it features so many solutions, it makes sense to cost as much as it does. But the creation of personal plans with fewer features might prove interesting to bring the product to a broader audience, like enthusiasts that are starting to get in touch with data science.
- Some issues regarding notebooks and the use of data refinery are quite annoying to the experience because, depending on the use that you make of it, they might appear quite regularly.
- Lack of a changelog. Like many IBM products and platforms, DSx is in constant development and is updated regularly. This is a great point, except for the fact that sometimes it lacks a changelog to properly inform what has been changed, requiring the user to investigate on its own.
- Since we've used IBM DSx mainly while investigating tools to be able to create better products, we've yet to fully use its features and in a real-world scenario. For this particular reason, we haven't been able to determine a proper ROI for this particular product.