Software Alternatives & Reviews

PlayFab VS Google Cloud Dataflow

Compare PlayFab VS Google Cloud Dataflow and see what are their differences

PlayFab logo PlayFab

PlayFab is a backend platform for games, delivering powerful real-time tools and services for LiveOps.

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
  • PlayFab Landing page
    Landing page //
    2022-01-14
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

PlayFab videos

GameSparks vs PlayFab: Best Price? Trust? Features? Current+Future Value?

More videos:

  • Tutorial - PlayFab Tutorial - Multiplayer Back-End for Unity
  • Review - Meet Playfab - The Intelligent Backend Platform for Games

Google Cloud Dataflow videos

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to PlayFab and Google Cloud Dataflow)
Developer Tools
100 100%
0% 0
Big Data
0 0%
100% 100
Game Development
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PlayFab and Google Cloud Dataflow

PlayFab Reviews

We have no reviews of PlayFab yet.
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Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

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.

PlayFab mentions (16)

  • Multiplayer developers, how do you store player data?
    I think the best way to get started is PlayFab they have a great C++ & Blueprint UE plugin. Source: 6 months ago
  • Any suggestion for a backend as a service for highscore/ranking data that is more customizable than Google Play?
    I’ve used playfab in the past to good success https://playfab.com/. Source: about 1 year ago
  • Magtatanong lang po.
    Kung gusto mo multiplayer game you can use Azure Playfab: https://playfab.com may "free" tier sila for development. Source: over 1 year ago
  • Leaderboard online in Unreal Engine 4.26
    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
  • The Fundamentals of LiveOps with PlayFab
    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
View more

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    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
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
  • Best way to export several GCP datasets to AWS?
    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
  • Why we don’t use Spark
    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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What are some alternatives?

When comparing PlayFab and Google Cloud Dataflow, you can also consider the following products

Nakama - Nakama is an open-source distributed social and realtime server for games and apps.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Photon Engine - Independent networking engine and multiplayer platform.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?