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Google Cloud Dataproc VS Histats

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

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

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Histats logo Histats

Start tracking your visitors in 1 minute!
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Histats Landing page
    Landing page //
    2023-04-29

Google Cloud Dataproc videos

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Dataproc

Histats videos

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Cara Pasang Histats di Wordpress Terbaru

More videos:

  • Tutorial - How to Create Account & Add Website | Histats.com | Part-1
  • Tutorial - How To Ad Visitor Counter Histats On Your Website Code/Wordpress/Blogger/Pak Streaming

Category Popularity

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

Google Cloud Dataproc

Histats

Data Dashboard
100 100%
Data Dashboard
0% 0
Analytics
0 0%
Analytics
100% 100
Big Data
100 100%
Big Data
0% 0
Web Analytics
0 0%
Web Analytics
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Histats. 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 / 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

Histats mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and Histats, 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.

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

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

AFSAnalytics - AFSAnalytics.

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

Woopra - Track your customers' web and mobile activity, forms, emails, support tickets and more, all in one place with customer analytics. Analyze and take action.

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