Software Alternatives & Reviews

Google Data Studio VS Amazon EMR

Compare Google Data Studio VS Amazon EMR and see what are their differences

Google Data Studio logo Google Data Studio

Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • Google Data Studio Landing page
    Landing page //
    2023-05-09
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

Google Data Studio videos

5 Reasons Why Google Data Studio is Amazing

More videos:

  • Review - Why I switched to Google Data Studio
  • Review - I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

Amazon EMR videos

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

Category Popularity

0-100% (relative to Google Data Studio and Amazon EMR)
Data Dashboard
54 54%
46% 46
Business Intelligence
100 100%
0% 0
Big Data
0 0%
100% 100
Data Visualization
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 Data Studio and Amazon EMR

Google Data Studio Reviews

25 Best Statistical Analysis Software
With its intuitive interface and extensive customization options, Google Data Studio makes it easy for users to create captivating visualizations of their data, regardless of their technical expertise.
11 Metabase Alternatives
Google Data Studio is a platform that acts as a Google drive and saves hundreds of files at a time and makes reports out of them for business needs. Data studio offers to add a bulk of data files at a time and this application will make a report that will save a lot of their time and helps them make better decisions for their businesses and other useful tasks. Representers...
Best Google Data Studio Alternatives (Self-Service BI)
Google Data Studio is a reporting tool that nicely integrates within GA360 ecosystem (alongside with Google BigQuery and Google Sheet) and evolving on a monthly basis with an intuitive interface to explore and build insights. And it's completely free.
5 Metabase Alternatives You Don't Need a PhD to Use
Google Data Studio is a free tool and amongst the more visualization-focused alternatives to Metabase. Google Data Studio helps convert data into shareable reports for better metrics, reporting, and communication.
8 Databox Alternatives: Which One Is The Best?
Basic visualization and reporting are easy with Google Data Studio. However, it does not support the flexibility and customizability of visualization. So lack of visualization can be considered as a disadvantage of Google Data Studio.
Source: hockeystack.com

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Amazon EMR should be more popular than Google Data Studio. It has been mentiond 10 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 Data Studio mentions (2)

  • 5 tools for Core Web Vitals to measure and improve website UX
    A tool to visualize data, for example, based on reports like CrUX, is Data Studio. It allows you to create dashboards based on source files and thus capture trends in user behavior. - Source: dev.to / about 2 years ago
  • GCP solution for ML model management (ML Ops)?
    I'm guessing you're looking for a database product or something like Data Studio. Whats your use case? Source: about 2 years ago

Amazon EMR mentions (10)

  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
  • What compute service i should use? Advice for a duck-tape kind of guy
    I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
  • Processing a large text file containing millions of records.
    This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
  • How to use Spark and Pandas to prepare big data
    Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
  • Beginner building a Hadoop cluster
    Check out https://aws.amazon.com/emr/. Source: about 2 years ago
View more

What are some alternatives?

When comparing Google Data Studio and Amazon EMR, you can also consider the following products

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

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

Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost