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HypeStat VS Google Cloud Dataproc

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

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

HypeStat logo HypeStat

HypeStat is free statistics and analytics service, where you can find information about every website.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • HypeStat Landing page
    Landing page //
    2023-08-03
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

HypeStat videos

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Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

HypeStat

Google Cloud Dataproc

Chrome Extensions
100 100%
Chrome Extensions
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Productivity
100 100%
Productivity
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using HypeStat 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.

HypeStat mentions (0)

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

Q-Stats - Get free marketing insights for every question on Quora.

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

Site Rank Data - View historical rank information of websites via time series charts.

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

Seoxan - check seo report for any website, alexa ranking, server information, meta tags, authority, page speed and more

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

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