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Google Cloud Dataproc VS Azure HDInsight

Compare Google Cloud Dataproc VS Azure HDInsight and see what are their differences

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  2. » Videos
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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

Azure HDInsight logo Azure HDInsight

Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Azure HDInsight Landing page
    Landing page //
    2023-02-26

Google Cloud Dataproc videos

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Dataproc

Azure HDInsight videos

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Introduction to Azure HDInsight

More videos:

  • Tutorial - How to create Azure HDInsight Cluster| Load data and run queries on an Apache Spark cluster|Power BI

Category Popularity

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

Google Cloud Dataproc

Azure HDInsight

Data Dashboard
75 75%
Data Dashboard
25% 25
Big Data
66 66%
Big Data
34% 34
Development
100 100%
Development
0% 0
Data Warehousing
48 48%
Data Warehousing
52% 52

User comments

Share your experience with using Google Cloud Dataproc and Azure HDInsight. 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 Dataproc and Azure HDInsight

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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Azure HDInsight Reviews

16 Top Big Data Analytics Tools You Should Know About
Using Azure HDInsights, we can deploy Hadoop in the cloud without purchasing new hardware or paying other up-front costs.
Source: www.analytixlabs.co.in

Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. 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: about 2 years ago

Azure HDInsight mentions (0)

We have not tracked any mentions of Azure HDInsight yet. Tracking of Azure HDInsight recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataproc and Azure 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.

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

Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

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?

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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