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Hortonworks VS Google Cloud Dataproc

Compare Hortonworks VS Google Cloud Dataproc and see what are their differences

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Hortonworks logo Hortonworks

Hadoop-Related

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Hortonworks Landing page
    Landing page //
    2023-07-11
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Hortonworks videos

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Hadoop Tutorial: Introduction to Hortonworks Sandbox

More videos:

  • Review - A New Era - Hortonworks and Cloudera
  • Review - Hortonworks SmartSense data capture and recommendations.

Google Cloud Dataproc videos

+ Add

Dataproc

Category Popularity

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

Hortonworks

Google Cloud Dataproc

Big Data
16 16%
Big Data
84% 84
Data Dashboard
0 0%
Data Dashboard
100% 100
Big Data Infrastructure
100 100%
Big Data Infrastructure
0% 0
Databases
100 100%
Databases
0% 0

User comments

Share your experience with using Hortonworks and Google Cloud Dataproc. 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 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.

Hortonworks mentions (0)

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

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

What are some alternatives?

When comparing Hortonworks and Google Cloud Dataproc, 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.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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

Microsoft Azure HDInsight - Azure HDInsight is an Apache Hadoop distribution powered by the cloud.

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

IBM Analytics Engine - Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.

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