PlayFab might be a bit more popular than Google Cloud Dataflow. We know about 16 links to it since March 2021 and only 14 links to Google Cloud Dataflow. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I think the best way to get started is PlayFab they have a great C++ & Blueprint UE plugin. Source: 6 months ago
I’ve used playfab in the past to good success https://playfab.com/. Source: about 1 year ago
Kung gusto mo multiplayer game you can use Azure Playfab: https://playfab.com may "free" tier sila for development. Source: over 1 year ago
Look into Microsoft's Azure PlayFab for something like this. There's a plugin for Unreal, though all of PlayFab's documentation seems to be for C# for Unity. Source: about 2 years ago
This video blog provides a high-level overview of Azure PlayFab and how its services like LiveOps can be used to makes games more engaging for your players. Source: about 2 years ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
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