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Google Cloud Dataproc VS Pyramid Analytics

Compare Google Cloud Dataproc VS Pyramid Analytics 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

Pyramid Analytics logo Pyramid Analytics

Pyramid Analytics provides business intelligence software that delivers data-driven insights for organizations with advanced analytics and data visualizations.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Pyramid Analytics Landing page
    Landing page //
    2023-10-16

Google Cloud Dataproc videos

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Dataproc

Pyramid Analytics videos

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Product Review with Pyramid Analytics - Ian Macdonald, Pyramid Analytics

More videos:

  • Review - Product Review with Pyramid Analytics - Oliver Lorig, Solution Engineer, Pyramid Analytics
  • Review - The Pyramid Analytics Platform

Category Popularity

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

Google Cloud Dataproc

Pyramid Analytics

Data Dashboard
83 83%
Data Dashboard
17% 17
Business & Commerce
0 0%
Business & Commerce
100% 100
Big Data
100 100%
Big Data
0% 0
Development
48 48%
Development
52% 52

User comments

Share your experience with using Google Cloud Dataproc and Pyramid Analytics. 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

Pyramid Analytics mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and Pyramid Analytics, 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.

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

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