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Superset VS Google Cloud Dataproc

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

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

Superset logo Superset

Superset is a platform that enables colleges to automate campus placements end-to-end, helps employers hire young talent from across colleges in the country, and empowers students to access opportunities democratically.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Superset Landing page
    Landing page //
    2023-07-21
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Superset videos

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SUPERSET PRE WORKOUT REVIEW | BEYOND YOURSELF

More videos:

  • Review - Open Source Data Visualization: What is Apache Superset? Part 2/2 - Why / when to use Superset
  • Review - FITNESS CREATORS NEED TO CHECK THIS OUT! - SuperSet Review

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

Superset

Google Cloud Dataproc

Data Dashboard
17 17%
Data Dashboard
83% 83
Business Intelligence
100 100%
Business Intelligence
0% 0
Big Data
0 0%
Big Data
100% 100
Data Visualization
100 100%
Data Visualization
0% 0

User comments

Share your experience with using Superset 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 should be more popular than Superset. 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.

Superset mentions (1)

  • Revolutionize Your Campus Recruitment with Superset's Advanced Software Solutions
    Superset's virtual campus placement and campus hiring software redefines the landscape of campus recruitment. By embracing automation, optimizing processes, and fostering meaningful connections, Superset empowers colleges and employers to embark on a transformative journey towards successful campus placements and strategic hiring of young talent. Elevate your campus recruitment game with Superset's advanced... Source: 6 months ago

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 Superset and Google Cloud Dataproc, you can also consider the following products

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

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

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

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

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