Google Cloud Storage pros and cons

It's user-friendly. We find it to be very easy to use.

There is a free-to-use version. This is the version I use.

The most valuable feature of Google Cloud Storage is the filter option. You can search with some artificial intelligence kinds of features. For example, if I search for a beach, it'll show me all the beach-related pictures, which I took five or ten years before. So this is a cool feature that I've seen. They give as many features as they can to make it better, so I'm happy with this solution.

It is seamlessly integrated with your Android. There’s no fuss, no hassle.

Google Cloud Storage is highly reliable.

On the phone, I appreciate how seamless it is.

Google Cloud Storage's most valuable feature is the native algorithms are available. Some of the algorithms are not available for the use cases that we had in Microsoft Azure. We didn't find any native algorithms and that's the reason why we decided to use the machine learning algorithms in GCP.

There's no implementation process.

Google Cloud Storage is very convenient to use.

Access your files from anywhere, no installation necessary

The problem I face right now is that my data warehouse is being hosted on Google Cloud, however, integration between Google Cloud to Microsoft Azure is a big problem.

While the solution seems to be secure, I worry that, with the cloud, there is a chance of hacking. It would be ideal if they could be more transparent about the processes they go through to keep our data secure in the cloud and on their systems.

Google Cloud Storage could be improved if they provided more free storage for free accounts.

The solution only allows so much space for free.

There are inefficiencies with cache when the names are sequencing.

It was a little more complicated when compared to Apple.

Google Cloud Storage could improve the integrations in a way Microsoft Azure is going about it. For Data Lake integrations, Microsoft Azure has a bunch of native pipelines available. All Google needs to do is add the same set or maybe even improve on the sets that they have. All the analytics, including the Data Lake, would then be able to sit in Google Cloud Storage.

I don't find the solution very user-friendly.

It's actually quite complete and we don't have any issues with the solution.

Additional cost for more storage