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RevenueCat VS Google Cloud Dataproc

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

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Contents:
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RevenueCat logo RevenueCat

In-app subscriptions made easy

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • RevenueCat Landing page
    Landing page //
    2023-10-13

RevenueCat makes it easy to build cross-platform in-app purchases, manage your products and subscribers, and analyze your IAP data – no server code required.

  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

RevenueCat

Website
revenuecat.com
Pricing URL
Official RevenueCat Pricing
$ Details
freemium
Platforms
iOS Swift Android Web
Release Date
2017 October
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Jacob Eiting
Employees
10 - 19
Edit details

Google Cloud Dataproc

Website
cloud.google.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

RevenueCat videos

+ Add

RevenueCat Demo

Google Cloud Dataproc videos

+ Add

Dataproc

Category Popularity

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

RevenueCat

Google Cloud Dataproc

SaaS
100 100%
SaaS
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Subscriptions
100 100%
Subscriptions
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using RevenueCat 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 RevenueCat. 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.

RevenueCat mentions (1)

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

Qonversion - The subscription data platform for mobile-first companies

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

ChartMogul - Master your recurring revenue. Advanced subscription analytics with one-click.

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

BareMetrics - SaaS Analytics for Stripe

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

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