We use it for a lot of different use cases. Besides general backup and data retention, we use it for various analytics purposes. We build custom analytics solutions and use Blob Storage for configuration and OTA software updates for each solution.
On the consulting side with AWS, we store custom objects related to training in S3 buckets. All of this is managed and controlled through relational databases.
We use it more for colder storage compared to Cosmos DB or DocumentDB.
We design and build custom solutions. We mostly use Azure for our cloud and go straight through. If we don't use the customer's network, we use cell routers.
I design and build industrial IoT equipment, so that's part of what we do.
Cost is the most valuable feature. Otherwise, I'd be using a NoSQL database.
Blob Storage is also much better suited for large files like videos and anything in the multi-gigabyte range. Different services access it in different ways, but none are particularly harder than the others.