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Google Cloud Dataproc VS SAS Model Manager

Compare Google Cloud Dataproc VS SAS Model Manager and see what are their differences

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

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

SAS Model Manager logo SAS Model Manager

SAS Model Manager is a proven, reliable solution for the Analysis Services platform that enables you to integrate multiple environments, tools, and applications using open REST APIs.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • SAS Model Manager Landing page
    Landing page //
    2023-10-05

Google Cloud Dataproc videos

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Dataproc

SAS Model Manager videos

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Open-Source Model Management with SAS Model Manager

Category Popularity

0-100% (relative to Google Cloud Dataproc and SAS Model Manager)

Google Cloud Dataproc

SAS Model Manager

Data Dashboard
75 75%
Data Dashboard
25% 25
Business & Commerce
0 0%
Business & Commerce
100% 100
Big Data
100 100%
Big Data
0% 0
Development
80 80%
Development
20% 20

User comments

Share your experience with using Google Cloud Dataproc and SAS Model Manager. 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.

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

SAS Model Manager mentions (0)

We have not tracked any mentions of SAS Model Manager yet. Tracking of SAS Model Manager recommendations started around Apr 2022.

What are some alternatives?

When comparing Google Cloud Dataproc and SAS Model Manager, you can also consider the following products

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

MLOps - MLOps is a software platform that enables companies to manage AI production.

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

Domino Data Lab - Domino is a data science platform that enables collaborative and reusable analysis of data.

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

Robust Intelligence - Robust intelligence is stress and failure testing solution for AI models.

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