Software Alternatives, Accelerators & Startups

Google Cloud Dataflow VS AWS IoT

Compare Google Cloud Dataflow VS AWS IoT 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.

AWS IoT logo AWS IoT

Easily and securely connect devices to the cloud.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • AWS IoT Landing page
    Landing page //
    2023-04-28

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

AWS IoT videos

What is AWS IoT?

More videos:

  • Review - Introducción a AWS IoT
  • Review - AWS IoT in the Connected Home - AWS Online Tech Talks

Category Popularity

0-100% (relative to Google Cloud Dataflow and AWS IoT)
Big Data
100 100%
0% 0
Data Dashboard
56 56%
44% 44
IoT Platform
0 0%
100% 100
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 AWS IoT

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

AWS IoT Reviews

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

Social recommendations and mentions

Based on our record, Google Cloud Dataflow should be more popular than AWS IoT. 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
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AWS IoT mentions (8)

  • Automatically Applying Configuration to IoT Devices with AWS IoT and AWS Step Functions - Part 1
    In this blog post series, we will look at a simple example of modeling an IoT device process as a workflow, using primarily AWS IoT and AWS Step Functions. Our example is a system where, when a device comes online, you need to get external settings based on the profile of the user the device belongs to and push that configuration to the device. The system that holds the external settings is often a third party... - Source: dev.to / about 1 year ago
  • Building a serverless talking doorbell
    Iot - MQTT broker to send messages to the Raspberry Pi. - Source: dev.to / over 2 years ago
  • GME NFT/blockchain is not to be a stock market...it's bigger
    " Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. These services help organizations move faster, lower IT costs, and scale. AWS is trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including: web and... Source: over 2 years ago
  • What is AWS IoT Core and how do I use it?
    AWS IoT Core - message broker between all devices and AWS. - Source: dev.to / over 2 years ago
  • Which Cloud Suite is preferable when the focus is more towards IoT/IIoT as potential future job search keyword?
    If you have to ask, then you should be using AWS by default. They have plenty of IoT services for you to fiddle around with and get started. Source: almost 3 years ago
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What are some alternatives?

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

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

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

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

Blynk.io - We make internet of things simple

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.