Software Alternatives, Accelerators & Startups

Churnzero VS Google Cloud Dataproc

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

Churnzero logo Churnzero

ChurnZero is the Customer Success Platform built for growing SaaS and subscription businesses.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Churnzero Landing page
    Landing page //
    2019-01-29
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Churnzero videos

A Day in the Life of a CSM Using ChurnZero

More videos:

  • Review - Introduction to ChurnZero

Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to Churnzero and Google Cloud Dataproc)
Customer Success
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Customer Experience Management
Big Data
0 0%
100% 100

User comments

Share your experience with using Churnzero 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 Churnzero. 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.

Churnzero mentions (1)

  • CRM for Small IT Business
    I noticed that Zoho, just like many other CRM solutions tend to focus on sales alone, and doesn't fit a subscription model very well. So once you have a bunch of deals in the pipeline, you'll want to close them as 'won'; However, if you have customers on subscriptions with expiration dates, renewals, etc. One way to manage that is to pair zoho or hubspot with an application that supports existing customers,... Source: over 2 years 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 Churnzero and Google Cloud Dataproc, you can also consider the following products

Totango - Totango is a Customer Success Software Platform

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

Gainsight - Customer Success for the New Enterprise

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

Planhat - Customer success has changed. Meet the modern Customer Platform!

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