Cloud Elements (discontinued) vs. Jupyter Notebook

Cloud Elements shines when you want to offer multiple options to the user on a type of system, such as supporting integration to CRM and wanting to offer Dynamics, Salesforce, and HubSpot on equal footing. If you only have a single integration with a single system, using Cloud Elements adds an unnecessary layer of abstraction.

Incentivized

I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

Incentivized

• The API itself is very robust and easy to use, being a standard REST interface, standard HTTP response codes, well-packaged error messages, etc.
• Their uptime is great! I think I've seen one (short) 5-minute' blip' the entire time we've been connected for any type of primary function.
• Their support is top notch, they respond quickly, and the team that works with you is communicative and knowledgable.

Incentivized

• Simple and elegant code writing ability. Easier to understand the code that way.
• The ability to see the output after each step.
• The ability to use ton of library functions in Python.
• Easy-user friendly interface.

Incentivized

• The only thing I can think of that they could improve is the quality of the assets they produce in the go-to-market process. This is a huge value add service, but the quality of what was produced was lower than what we would have produced internally. We spent more time going back and forth on the assets than it would have taken us to build them from scratch.

Incentivized

• Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
• Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

Incentivized

Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

Incentivized

I haven't had a need to contact support. However, all required help is out there in public forums.

Incentivized

At the time we found Cloud Elements we found no other option that had a Unified API for cloud storage providers.

Incentivized

With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.

Incentivized

• Not my area of expertise, but it made my job as an implementer much easier, especially after finishing the first integration.

Incentivized

• Positive impact: flexible implementation on any OS, for many common software languages
• Positive impact: straightforward duplication for adaptation of workflows for other projects
• Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration

Incentivized