Azure Machine Learning vs. Google Drive

For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.

All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.

If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.

It is possible to share files and folders with up to 200 email addresses, as well as with persons outside the company.Use the drop-down arrow to select who may see, comment on, or change the file or folder before sending out an invitation.I am very much impressed with this feature

• User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
• Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
• Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
• Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
• Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.

Incentivized

• Any user with access can store a file using different platforms like Android, IOS, Windows, or Ubuntu (Desktop version)
• You can share files with any number of different users with different access rights or you can even keep it public by providing the access link and assign different rights for public access
• You can open Excel/Word files using google software Sheets/Docs in the browser environment without having to install software like Microsoft Office etc on your Windows OS

Incentivized

• It would be great to have text tips that could ease new users to the platform, especially if an error shows up
• Scenario-based documentation
• Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason

Incentivized

• Having a little bit more control and clarity over what is shared and how it is shared would be a useful improvement.
• Could be more robust and flexible as far as assigning restrictions.
• Google Sheets could be enhanced because Excel really is not there yet as a product with equal capabilities as there are still quite a few limitations to the functionality.

Incentivized

It's perfect for me. It keeps things saved and is easy to remove items if needed. Also, I very much enjoy the formatting options. Along with the integrations it has for SSO. Overall, this is the most user friendly system I have ever come across.

Easy and fastest way to develop, test, deploy and monitor the machine learning model.

- Easy to load the data set

-Drag and drop the process of the Machine learning life cycle.

It's easy enough to use for computer users of all ages and skill levels. I am an advanced user, and I think the hardest part might be showing someone how to download and set up the app on their device if they weren't too familiar with computers, but overall it is very easy to understand.

Incentivized

Always available

Incentivized

The documents load fairly quickly and also update in real time, especially given the fact that multiple people can be using it at once. The "Offline" feature works great to allow the user to make edits and access the document without access to the internet, and then sync changes later once they're back.

Incentivized

Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.

Incentivized

It takes a few days for customer support to get back to you. Although, I have not had to use support too often. Once you get an email back, they are very thorough and work hard to fix the problem quickly. It is a really great resource and a great way to get the help you need if you're stuck. A phone call also works quickly but you have to call during specific times.

The effective google workspace using training that my organization received and was conducted by me (as a team lead of the ICT team) was mind-blowing and as a result, our staff is performing well in terms of using the application for their daily jobs than before. Now, in my institution, all teachers and all the administrative personnel are very much interested in cloud storage facilities, in previous my institution was afraid of losing all important documents in the cloud storage. But, after having received the training they are now realized that if anyone has only one google account then he or she can use 15GB of cloud storage freely and they are now happy because now it is not necessary for anyone to carry the traditional pen drive.

Incentivized

Not sure

It's an extremely easy software to implement, once you sign up for a google account you automatically have access to google drive with a set amount of storage space. The business or Google Suite accounts have more storage space than a regular free account, but setting up and accessing google drive is very easy in both cases

It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.

Incentivized

In short, Google Drive is better for independent users who store a normal amount of stuff. OneDrive makes more sense for businesses and teams that are doing heavy-duty storage or large-scale syncing. Realistically, though, most users will fall somewhere in between the two, where either platform would meet their needs.

I have always been able to access

Incentivized

• Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
• Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
• Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details

Incentivized

• It has given our operation remote capabilities
• Easier to access and understand client's need through collaborative enviroment
• availability to digital resources fast and easy
• saved our operation hundreds of dollars in physical storage (both investment and maintenance)
• our operation became easier for new staff to get onboard: small learning curve to use it