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Google Cloud Dataproc VS MapR

Compare Google Cloud Dataproc VS MapR 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

MapR logo MapR

MapR is a leading high-performance data management or IT management solution that integrates Apache Drill, Hadoop and Spark with real-time global event streaming, scalable enterprise storage, and database capabilities in order to control large appli…
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • MapR Landing page
    Landing page //
    2022-10-09

Google Cloud Dataproc videos

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Dataproc

MapR videos

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Hadoop Distribution Comparison and Overview: Cloudera, MapR, and Hortonworks

More videos:

  • Review - The Answer to Life, the Universe, and Everything (sponsored by MapR) - Ted Dunning (MapR)
  • Review - Big Data & Brews: Tomer Shiran of MapR Talks About the Hadoop Market and the Company's Success

Category Popularity

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

Google Cloud Dataproc

MapR

Data Dashboard
100 100%
Data Dashboard
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Big Data
100 100%
Big Data
0% 0
Log Management
0 0%
Log Management
100% 100

User comments

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

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

MapR mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and MapR, 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.

Cryptlex - Cryptlex is an IT Management software, designed to help you maximize the revenue potential of your software by protecting you against software piracy.

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

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

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

BetterCloud - BetterCloud provides critical insights, automated management, and intelligent data security for cloud office platforms.

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