Copying my comment from the other post (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=11160253" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=11160253</a>), since this post is heading to the top<p>&gt; Google has long been a thought-leader in this space, and this shows in the sophistication and quality of its data offerings. From traditional batch processing with Dataproc, to rock-solid event delivery with Pub&#x2F;Sub to the nearly magical abilities of BigQuery, building on Google’s data infrastructure provides us with a significant advantage where it matters the most.<p>Big Data is the core strength of Google Cloud. Good to see this move by Spotify!<p>&gt; What really tipped the scales towards Google for us, however, has been our experience with Google’s data platform and tools. Good infrastructure isn’t just about keeping things up and running, it’s about making all of our teams more efficient and more effective, and Google’s data stack does that for us in spades.<p>What I really really liked about Google Cloud is the ease of use. Spin up a VM, start Cloud shell, SSH into your instance, install a bunch of software and you will know what I mean. It&#x27;s &quot;Quality&quot; Cloud.