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Google Cloud Dataproc VS Github Native

Compare Google Cloud Dataproc VS Github Native and see what are their differences

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Google Cloud Dataproc logo Google Cloud Dataproc

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

Github Native logo Github Native

Kubernetes-based platform to build, deploy, and manage modern serverless workloads - Knative
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Github Native Landing page
    Landing page //
    2023-08-29

Google Cloud Dataproc videos

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Dataproc

Github Native videos

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Category Popularity

0-100% (relative to Google Cloud Dataproc and Github Native)

Google Cloud Dataproc

Github Native

Data Dashboard
100 100%
Data Dashboard
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Big Data
100 100%
Big Data
0% 0
Application Builder
0 0%
Application Builder
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Dataproc should be more popular than Github Native. It has been mentiond 3 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

Github Native mentions (1)

  • Google Cloud Reference
    Knative: Serverless framework for Kubernetes 🔗Link. - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing Google Cloud Dataproc and Github Native, 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.

Flutter.dev - Build beautiful native apps in record time 🚀

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

weex - A framework for building Mobile cross-platform UI

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

Google Compute Engine - Google Compute Engine is not just fast. It’s Google fast.

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