Software Alternatives & Reviews

Google Cloud Dataproc VS Google Compute Engine

Compare Google Cloud Dataproc VS Google Compute Engine and see what are their differences

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Google Compute Engine logo Google Compute Engine

Google Compute Engine is not just fast. It’s Google fast.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Google Compute Engine Landing page
    Landing page //
    2023-10-22

Google Cloud Dataproc videos

Dataproc

Google Compute Engine videos

Getting Started with Google Compute Engine

Category Popularity

0-100% (relative to Google Cloud Dataproc and Google Compute Engine)
Data Dashboard
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Big Data
100 100%
0% 0
VPS
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 Google Cloud Dataproc and Google Compute Engine

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Google Compute Engine Reviews

Alternatives to Amazon's Cloud Services (AWS)
Microsoft Azure and Google Cloud Compute are the two biggest competitors to AWS attempting to offer a growing stack of service offerings.

Social recommendations and mentions

Based on our record, Google Compute Engine should be more popular than Google Cloud Dataproc. It has been mentiond 15 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 Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

Google Compute Engine mentions (15)

  • Please bring neon db to GCP
    Surely you can run your own instances on some sort of "Compute" in GCP? https://cloud.google.com/products/compute. - Source: Hacker News / about 1 month ago
  • Pickems website for MSI 2023
    The backend is written in node.js and is deployed using Google Compute Engine. I wanted to learn Kubernetes but it seemed more complicated and also more expensive than GCE. We also use mongodb. Source: about 1 year ago
  • Is it possible to host a Golang Application Free Indefinitely?
    Google seems to have a free tiny VM offering. AWS and Azure have one for a year. Of course, whether Google's will still be free in a year is whoknows. Source: about 1 year ago
  • typical programmer life
    Cloud VM's are the easy answer here. Source: over 1 year ago
  • Migrating Wordpress from GCP to AWS
    You may have noticed some changes to this site. Along with some style and color changes, I've updated the domain, and focused the pages on my technical blog. Originally this site started as an administrative page for the Minecraft servers I am hosting. I built the first Minecraft server in Google Cloud on a general Compute Engine instance, and was running this web page on a separate smaller instance. As the... - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Google Cloud Dataproc and Google Compute Engine, 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.

Amazon EC2 - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

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

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.