Software Alternatives & Reviews

HortonWorks Data Platform VS Google Cloud Dataproc

Compare HortonWorks Data Platform VS Google Cloud Dataproc and see what are their differences

HortonWorks Data Platform logo HortonWorks Data Platform

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

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • HortonWorks Data Platform Landing page
    Landing page //
    2023-09-28
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

HortonWorks Data Platform videos

Why You Need Hortonworks Data Platform 3.0

More videos:

  • Review - Hortonworks Data Platform 3.0 – Faster, Smarter, Hybrid Data

Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to HortonWorks Data Platform and Google Cloud Dataproc)
Data Dashboard
37 37%
63% 63
Big Data
36 36%
64% 64
Development
46 46%
54% 54
Data Warehousing
43 43%
57% 57

User comments

Share your experience with using HortonWorks Data Platform and Google Cloud Dataproc. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Google Cloud Dataproc should be more popular than HortonWorks Data Platform. 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 Data Platform mentions (1)

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

What are some alternatives?

When comparing HortonWorks Data Platform 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.

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

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

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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.