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Amazon QuickSight VS Matplotlib

Compare Amazon QuickSight VS Matplotlib and see what are their differences

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

Amazon QuickSight logo Amazon QuickSight

Fast, easy to use business analytics at 1/10th the cost of traditional BI solutions

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Amazon QuickSight Landing page
    Landing page //
    2023-05-01
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Amazon QuickSight features and specs

  • Scalability
    Amazon QuickSight is built on the AWS cloud infrastructure, ensuring it can scale seamlessly with your data needs, from small projects to large enterprise deployments.
  • Integration with AWS Services
    QuickSight easily integrates with other AWS services like S3, Redshift, and RDS, making it a natural choice for organizations already using AWS.
  • Pay-per-Session Pricing
    QuickSight offers a pay-per-session pricing model, which can be cost-effective for organizations with variable or infrequent usage patterns.
  • Machine Learning Insights
    QuickSight includes machine learning capabilities to automatically detect anomalies, forecast trends, and offer deeper insights with minimal manual intervention.
  • Ease of Use
    The platform offers a user-friendly interface that allows users to create and share interactive dashboards and visualizations without extensive technical expertise.
  • Security
    QuickSight follows strong security protocols, benefitting from AWS's comprehensive compliance certifications and data protection mechanisms.

Possible disadvantages of Amazon QuickSight

  • Customization Limitations
    Some users find that QuickSight lacks the depth of customization options available in other BI tools, which can be limiting for highly specialized reporting needs.
  • Learning Curve for Advanced Features
    While basic features are user-friendly, mastering advanced functionalities and integrations can require a steep learning curve.
  • Performance Issues
    Some users have reported performance lags, especially when handling large datasets or running complex queries.
  • Limited Visualization Options
    QuickSight offers fewer visualization types compared to competitors like Tableau or Power BI, which can be restrictive for some users.
  • Dependence on AWS
    QuickSight works best within the AWS ecosystem, which may not be ideal for organizations using a variety of cloud providers.
  • Cost Management
    Although the pay-per-session model can be cost-effective, it can also become expensive if not carefully managed, especially in larger organizations with frequent access needs.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Amazon QuickSight

Overall verdict

  • Amazon QuickSight is a strong option for businesses seeking an effective BI tool, especially if they are existing AWS customers. Its seamless integration with other AWS services, flexibility in handling different data sources, and pay-per-session pricing model make it attractive for varying business needs. However, those without an AWS environment or requiring extensive customization might explore other BI tools for a better fit.

Why this product is good

  • Amazon QuickSight is a cloud-powered business intelligence (BI) service provided by AWS that allows users to easily create and share interactive dashboards. It is designed to provide scalability, ease of use, and integration with the AWS ecosystem, making it a practical choice for organizations already using AWS services. Its strengths include fast data processing, rich visualization options, and machine learning insights.

Recommended for

    Organizations that are already using AWS services, need a scalable BI tool with low operational overhead, and want to leverage built-in machine learning for data analysis. It is particularly well-suited for teams seeking fast deployment and straightforward collaboration on BI insights.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Amazon QuickSight videos

+ Add

Amazon QuickSight - Overview

More videos:

  • Review - Introduction to Amazon QuickSight: Business Analytics for Everyone - AWS Online Tech Talks
  • Review - Introducing Amazon QuickSight

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Amazon QuickSight and Matplotlib)

Amazon QuickSight

Matplotlib

Business Intelligence
100 100%
Business Intelligence
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Dashboard
49 49%
Data Dashboard
51% 51
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using Amazon QuickSight and Matplotlib. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon QuickSight and Matplotlib

Amazon QuickSight Reviews

10 Best Alternatives to Looker in 2024
AWS QuickSight: QuickSight, part of the Amazon Web Services suite, offers high scalability and seamless integration with other AWS services. It's designed for fast, cloud-powered business insights, making it an excellent choice for businesses leveraging cloud infrastructure.
Source: www.sigmacomputing.com
25 Best Reporting Tools for 2022
Amazon QuickSight is a Cloud-scale Business Intelligence (BI) Service and is available under the Amazon Web Services platform. It connects to various data sources in the Cloud and allows users to combine data from these sources. Amazon QuickSight can include AWS data, third-party data, B2B data, Excel data, and many more. Amazon QuickSight has a user-management tool by which...
Source: hevodata.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Amazon QuickSight. It has been mentiond 114 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.

Amazon QuickSight mentions (18)

  • Amazon Quick Suite : Quick Sight
    Amazon Quick Sight is business intelligence AI-generated powered platform that can create data visualization from many more data source, create dashboard, story, scenario, topic. - Source: dev.to / 7 months ago
  • Best architecture to provide real time data analytics to users?
    Maybe use Quicksight to then dashboard it? https://aws.amazon.com/quicksight/. Source: about 3 years ago
  • Being Data-Driven is a Mindset Shift
    QuickSight (business intelligence dashboards). - Source: dev.to / about 3 years ago
  • tool to display tabular reports out of organization
    Based on your 3 requirements, I would recommend Amazon QuickSight. https://aws.amazon.com/quicksight/ Its a Pay as you go model and allows you to scale with your business. You have better control over your assets within and outside your organization. It has Author/Reader roles to control how your dashboards/analysis are consumed. I can help you with quick demo if that helps and potentially help roll out as well if... Source: over 3 years ago
  • AWS Beginner's Key Terminologies
    Amazon QuickSight (analytics) Amazon QuickSight is a fast, cloud-powered business analytics service that you can use to build visualizations, perform analysis, and quickly get business insights from your data. Https://aws.amazon.com/quicksight/. - Source: dev.to / over 3 years ago
View more

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 7 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 8 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Amazon QuickSight and Matplotlib, you can also consider the following products

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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