Software Alternatives, Accelerators & Startups

Google Cloud Dataproc VS Stata

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

Google Cloud Dataproc logo Google Cloud Dataproc

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

Stata logo Stata

Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Stata Landing page
    Landing page //
    2023-09-27

Google Cloud Dataproc videos

Dataproc

Stata videos

What's it like–Getting started in Stata

More videos:

  • Review - Stata's dyndoc review
  • Review - 【Stata小课堂】第2讲:界面介绍

Category Popularity

0-100% (relative to Google Cloud Dataproc and Stata)
Data Dashboard
60 60%
40% 40
Technical Computing
0 0%
100% 100
Big Data
100 100%
0% 0
Development
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Dataproc and Stata

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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Stata Reviews

25 Best Statistical Analysis Software
Stata is a robust statistical software widely utilized by professionals across various fields for efficient data management, in-depth statistical analysis, and comprehensive data visualization.
9 Best Analysis Software for PC 2023
Stata is statistical software that provides almost all the tools you need in data analysis and visualization. The software is crucial in data manipulation, computing statistics queries, visualization, and generating analytical reports. The software is owned by the StataCorp company and has several applications in various fields like science, engineering, biomedicine,...
Source: pdf.wps.com

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

Stata mentions (0)

We have not tracked any mentions of Stata yet. Tracking of Stata recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataproc and Stata, 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.

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

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

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

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

Base SAS - Base SAS Software is an easy-to-learn fourth-generation programming language for data access, transformation and reporting.