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Centralpoint VS Google Cloud Dataproc

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

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

Centralpoint logo Centralpoint

Business & Commerce and Remote Work & Education

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Centralpoint Landing page
    Landing page //
    2021-11-13
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Centralpoint videos

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Freecom ToughDrive Review by Centralpoint.MP4

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

Centralpoint

Google Cloud Dataproc

Business & Commerce
100 100%
Business & Commerce
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Project Management
100 100%
Project Management
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Centralpoint 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.

Centralpoint mentions (0)

We have not tracked any mentions of Centralpoint yet. Tracking of Centralpoint recommendations started around May 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 Centralpoint and Google Cloud Dataproc, you can also consider the following products

Micro Focus Content Manager - Micro Focus Content Manager is an easy-to-use document and records management system that helps capture, manage, and secure business information, whether it’s digital or physical data.

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

SOLIXCloud ECS - SOLIXCloud ECS is a cloud-based CMS platform that is designed for organizations in order to store, organize, and securely govern data.

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

Objective ECM - Objective ECM is a secure and reliable Enterprise Content Management software that empowers users to manage their content and build powerful business processes.

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

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