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RJ Metrics VS Google Cloud Dataproc

Compare RJ Metrics VS Google Cloud Dataproc and see what are their differences

Agiliron
Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

RJ Metrics logo RJ Metrics

RJMetrics provides hosted business intelligence & data analysis software to companies that operate online.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • RJ Metrics Landing page
    Landing page //
    2023-07-06
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

RJ Metrics videos

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RJ Metrics

More videos:

  • Review - Props RJ Metrics Promo

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

RJ Metrics

Google Cloud Dataproc

eCommerce
100 100%
eCommerce
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Analytics
100 100%
Analytics
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using RJ Metrics 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.

RJ Metrics mentions (0)

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

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

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

CAKE - CAKE provides a SaaS-based solution for advertisers, publishers and networks to track, attribute and optimize their spend in real-time.

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

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.

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

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