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Batch Image Resizer VS Google Cloud Dataproc

Compare Batch Image Resizer VS Google Cloud Dataproc and see what are their differences

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Batch Image Resizer logo Batch Image Resizer

Resize, crop, shrink, flip, exif-rotate, convert, enhance, process multiple pictures and photos with professional software! 120+ Actions, 30+ Image Formats

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Batch Image Resizer Landing page
    Landing page //
    2021-09-27
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Batch Image Resizer videos

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Batch Image Resizer video demo

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to Batch Image Resizer and Google Cloud Dataproc)

Batch Image Resizer

Google Cloud Dataproc

Photos & Graphics
100 100%
Photos & Graphics
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Image Editing
100 100%
Image Editing
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Batch Image Resizer 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.

Batch Image Resizer mentions (0)

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

ImBatch - ImBatch is a batch image processor with a nice graphical user interface.

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

DVDVideoSoft Image Convert and Resize - Free Image Convert and Resize is a compact yet powerful program for batch mode image processing.

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

Ralpha Image Resizer - High-speed image batch conversion tool

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

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