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Google Cloud Dataproc VS Microsoft HDInsight

Compare Google Cloud Dataproc VS Microsoft HDInsight 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

Microsoft HDInsight logo Microsoft HDInsight

A managed Apache Hadoop, Spark, R, HBase, and Storm cloud service made easy
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Microsoft HDInsight Landing page
    Landing page //
    2023-04-10

Google Cloud Dataproc videos

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Microsoft HDInsight videos

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Category Popularity

0-100% (relative to Google Cloud Dataproc and Microsoft HDInsight)

Google Cloud Dataproc

Microsoft HDInsight

Data Dashboard
76 76%
Data Dashboard
24% 24
Big Data
87 87%
Big Data
13% 13
Development
67 67%
Development
33% 33
File Management
0 0%
File Management
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Microsoft HDInsight. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Dataproc should be more popular than Microsoft HDInsight. 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

Microsoft HDInsight mentions (1)

  • What are some options for a server version of R?
    I also know that Microsoft used to as well with Microsoft Machine Learning Server, but I read their blog post update on deprecating that next year and, honestly still find it confusing--like, are they still having an R server option or is it just R integration into other server-based services? What is this "R Server for HDInsight" thing? Source: over 2 years ago
  • Is azure a viable career path for DE?
    Also there is HDInsight: https://azure.microsoft.com/en-us/services/hdinsight/. Source: over 2 years ago

What are some alternatives?

When comparing Google Cloud Dataproc and Microsoft HDInsight, 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.

MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.

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

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

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

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

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