Software Alternatives, Accelerators & Startups

Neural Designer VS Google Cloud Dataproc

Compare Neural Designer VS Google Cloud Dataproc and see what are their differences

Neural Designer logo Neural Designer

Neural Designer is a high performance data science and machine learning platform.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Neural Designer Landing page
    Landing page //
    2021-12-27

Neural Designer is a data science and machine learning platform that helps you build, train, and deploy neural network models. The tool has been created so that innovative companies and research centers focus on their applications and not on mathematical algorithms or programming techniques. With Neural Designer, there is no need to write code or build block diagrams. Instead, the interface guides you through a sequence of well-defined steps.

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

Neural Designer

$ Details
paid Free Trial $2495.0 / Annually
Platforms
Windows Linux Mac OSX

Neural Designer videos

Getting started with Neural Designer

More videos:

  • Tutorial - How to model a solar farm's energy production using Neural Designer

Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to Neural Designer and Google Cloud Dataproc)
Business & Commerce
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Data Science And Machine Learning
Big Data
0 0%
100% 100

User comments

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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.

Neural Designer mentions (0)

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

Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.

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

Soroco Scout Platform - Scout Platform is an artificial intelligence bases process mining and execution management software, helps large enterprises, Visualize their entire process in one place with interactive task maps that allow teams to work collaboratively.

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

Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications

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