Software Alternatives, Accelerators & Startups

Google Cloud Dataflow VS Azure IoT Hub

Compare Google Cloud Dataflow VS Azure IoT Hub and see what are their differences

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.

Azure IoT Hub logo Azure IoT Hub

Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Azure IoT Hub Landing page
    Landing page //
    2023-03-25

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

Azure IoT Hub videos

Azure Friday | Azure IoT Hub

More videos:

  • Review - How Does Azure IoT Hub Work?

Category Popularity

0-100% (relative to Google Cloud Dataflow and Azure IoT Hub)
Big Data
100 100%
0% 0
IoT Platform
0 0%
100% 100
Data Dashboard
55 55%
45% 45
Data Warehousing
100 100%
0% 0

User comments

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Reviews

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

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

Azure IoT Hub Reviews

We have no reviews of Azure IoT Hub yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Cloud Dataflow should be more popular than Azure IoT Hub. It has been mentiond 14 times since March 2021. 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.

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 / about 2 years ago
View more

Azure IoT Hub mentions (3)

  • Looking for Microsoft Azure based alternative to Adafruit IO Feeds
    Sure MS has a product. It's more expensive and harder to use, though...Azure IOT hub - https://azure.microsoft.com/en-us/products/iot-hub. Source: 12 months ago
  • Getting Started With Azure IoT Hub
    Azure IoT Hub is a managed cloud service which provides bi-directional communication between the cloud and IoT devices. It is a platform as a service for building IoT solutions. Being an azure offering, it has security and scalability built-in as well as making it easy to integrate with other Azure services. - Source: dev.to / about 2 years ago
  • How to get the EK and Registration ID from a TPM 2.0 module on Raspian
    I am currently working on an IoT Project for my Bachelor's thesis. The goal is to gather data from an existing machine and send it to an Azure cloud via AMQP. To do this I have set up an IoT Hub and will be using the Azure IoT Edge runntime to connect and send the Data. For initial development, I have authenticated my devices to the cloud using symmetric keys generated by the IoT hub. Now I want to switch to... Source: over 2 years ago

What are some alternatives?

When comparing Google Cloud Dataflow and Azure IoT Hub, you can also consider the following products

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

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

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

AWS IoT - Easily and securely connect devices to the cloud.

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

Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.