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Faust VS Google Cloud Dataproc

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Faust logo Faust

Application and Data, Data Stores, and Stream Processing

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Faust Landing page
    Landing page //
    2023-08-29
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Faust videos

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Faust - Goethe BOOK REVIEW

More videos:

  • Review - Best of the Worst: Hologram Man, Faust, and Blood Street
  • Review - FAUST by Johann Wolfgang von Goethe - REVIEW

Google Cloud Dataproc videos

+ Add

Dataproc

Category Popularity

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

Faust

Google Cloud Dataproc

3D
100 100%
3D
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Music Generation
100 100%
Music Generation
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Faust 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 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.

Faust mentions (0)

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

Sonic Pi - Sonic Pi is a new kind of instrument for a new generation of musicians. It is simple to learn, powerful enough for live performances and free to download.

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

SuperCollider - A real time audio synthesis engine, and an object-oriented programming language specialised for...

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

ChucK - A strongly-timed music programming language

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

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