
Amazon EMR
HortonWorks Data Platform
Google BigQuery
Google Cloud Dataflow
Snowflake
Qubole
MapR Converged Data Platform
Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Material UI
The ultimate directory for top UI component libraries in React, Vue, Angular, Nuxt, Svelte, Rails, Weblow, and more.

Which is more popular?
Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentioned 3 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | cloud.google.com | componentlibraries.com |
| Pricing | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Google Cloud Dataproc yet.
We want builders to avoid searching for the perfect UI component library for their project and scrolling through GitHub repos, outdated blog lists, or product pages that barely show what’s inside... We built ComponentLibraries.com to make finding the right component library effortless. Browse a...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Google Cloud Dataproc yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Dataproc
No ComponentLibraries videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Google Cloud Dataproc and ComponentLibraries.
ComponentLibraries's answer:
There wasn't a single platform showcasing ALL the component libraries for any framework, let alone promoting bootstrapped independent ones, so we built one!
ComponentLibraries's answer:
Next.js, Typescript, Sanity CMS
ComponentLibraries's answer:
Component Libraries is literally the only platform showcasing all the best component libraries, besides GitHub repos, outdated blog lists, or product pages.
Share your experience with using Google Cloud Dataproc and ComponentLibraries. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I have also a spark cluster created with google cloud dataproc. Source: over 3 years ago
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... - Source: dev.to / over 4 years ago
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... Source: over 4 years ago
Tracking ComponentLibraries since Feb 2025.
When comparing Google Cloud Dataproc and ComponentLibraries, you can also consider the following products.

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
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A CSS Framework and a Set of React Components that Implement Google's Material Design
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The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...
Compare HortonWorks Data Platform to Google Cloud Dataproc or ComponentLibraries:

A fully managed data warehouse for large-scale data analytics.
Compare Google BigQuery to Google Cloud Dataproc or ComponentLibraries:

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Compare Google Cloud Dataflow to Google Cloud Dataproc or ComponentLibraries:

Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
Compare Snowflake to Google Cloud Dataproc or ComponentLibraries: