Software Alternatives, Accelerators & Startups

piHappiness VS Google Cloud Dataproc

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

piHappiness logo piHappiness

A complete customer feedback app offering real-time feedback via emoticons. Our Custom feedback software captures core human insights in mere 30 seconds.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • piHappiness Landing page
    Landing page //
    2021-10-18
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

piHappiness videos

piHappiness - Customer Feedback App & Survey Software

More videos:

  • Review - Customer Satisfaction & Feedback Management System - piHappiness
  • Review - Customer Feedback App | Customer Satisfaction Survey App | piHappiness

Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to piHappiness and Google Cloud Dataproc)
Surveys
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Business & Commerce
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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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.

piHappiness mentions (0)

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

Zonka Feedback - Top feedback app designed to collect customer feedback on iPad & Android tablets, Online Surveys on Website, Mobile, Email & SMS. Track NPS & Other Metrics.

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

FeedbackServer - asp.net survey software Web based and open source software, for purchase or hosted, written in ASP.NET for Nsurvey

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

KeySurvey - KeySurvey provides survey and questionnaire tools.

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