Firebase is an app development platform backed by Google that famously replaces the need for a backend. It accomplishes this by providing developers with a variety of services, including authentication, push notifications, and a database called Cloud Firestore that can be adapted to store and broadcast chat messages in realtime. - Source: dev.to / 4 months ago

Within the Firebase system, I use Firestore. To minimize queries of multiple collections ( keep server costs down ) I keep users in one collection. Within each user object I have a "roles" property that is a sub-object referencing the different roles available:. Source: 6 months ago

NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 9 months ago

Oh, I don't think this is what you're looking for. It's NoSQL versus Supabase's PostgreSQL implementation. {sigh}. Source: 11 months ago

I tried to make a reddit like app. I used both realtime-database and firestore as database. The billing of the two is different from each other. I used realtime-database for frequently updated data (like or upvote, downvote count for ex.) and firestore for more stable and large data (post, comment, community and user data..). While doing this, I only used database rules, I did not use Cloud functions. So, I... Source: 11 months ago

I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago

Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago

With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago