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Sheep VS Google Cloud Dataproc

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Sheep logo Sheep

Membership and events for SMEs and nonprofits

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Sheep Landing page
    Landing page //
    2022-09-14
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Sheep videos

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Sheep & Wolves Review

More videos:

  • Review - What the HELL is Sheep and Wolves?

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

Sheep

Google Cloud Dataproc

Website Builder
100 100%
Website Builder
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Databases
100 100%
Databases
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Sheep 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.

Sheep mentions (0)

We have not tracked any mentions of Sheep yet. Tracking of Sheep 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 / about 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 Sheep and Google Cloud Dataproc, you can also consider the following products

Sesame Database Manager - Lantica Software, LLC - Sesame, A Q&A-compatible Database Manager.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

XtraBuild Designer - XtraBuild offers software development tools for database and reporting applications. No coding!

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

CentriQS - CentriQS offers small business management software and custom database solutions for small and medium enterprise businesses.

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

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