Software Alternatives, Accelerators & Startups

Google Cloud Dataflow VS Red Hat Enterprise Linux

Compare Google Cloud Dataflow VS Red Hat Enterprise Linux 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.

Red Hat Enterprise Linux logo Red Hat Enterprise Linux

Red Hat Enterprise Linux is an open source operating system that is certified on hundreds of clouds & with thousands of hardware & software vendors.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Red Hat Enterprise Linux Landing page
    Landing page //
    2023-09-22

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

Red Hat Enterprise Linux videos

Red Hat Enterprise Linux 8.0 overview | security functionality and performance for IT environments

More videos:

  • Review - An Overview of Red Hat Enterprise Linux 8 #RedHat8

Category Popularity

0-100% (relative to Google Cloud Dataflow and Red Hat Enterprise Linux)
Big Data
100 100%
0% 0
Linux
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Linux Distribution
0 0%
100% 100

User comments

Share your experience with using Google Cloud Dataflow and Red Hat Enterprise Linux. For example, how are they different and which one is better?
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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 Red Hat Enterprise Linux

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

Red Hat Enterprise Linux Reviews

Finding the Best Linux Distro for Your Organization
In the latest news, Red Hat’s recent move to restrict access to the source code of their Red Hat Enterprise Linux (RHEL) distribution has sparked significant attention. RHEL-compatible, alternative open source projects such as Rocky Linux and AlmaLinux were affected, and companies such as Oracle have voiced their perspectives and declared their commitment to maintaining...
The best Linux distributions (operating systems)
Red Hat Enterprise Linux (RHEL) is the market leader among the enterprise Linux distributions. The operating system is suitable for desktop, server, cloud, and virtual machines and offers extensive and paid support. RHEL is stable and relies on long lifecycles. Usage is comparatively simple.
Source: www.ionos.com
Best Top 20 Ubuntu Linux Alternatives (Pros and Cons)
Fedora Linux is produced by the Fedora Project, a non-profit organization supported by Red Hat, an IBM subsidiary. Fedora is a free and open-source operating system that strives to be at the forefront of free technology. It is the upstream source of Red Hat Enterprise Linux.

Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be more popular. 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

Red Hat Enterprise Linux mentions (0)

We have not tracked any mentions of Red Hat Enterprise Linux yet. Tracking of Red Hat Enterprise Linux recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataflow and Red Hat Enterprise Linux, you can also consider the following products

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

Ubuntu - Ubuntu is a Debian Linux-based open source operating system for desktop computers.

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

Fedora - Fedora creates an innovative, free, and open source platform for hardware, clouds, and containers that enables software developers and community members to build tailored solutions for their users.

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

CentOS - CentOS is a community-supported, free and open source operating system based on Red Hat Enterprise...