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  5. Amazon Quicksight vs Power BI

Amazon Quicksight vs Power BI

OverviewDecisionsComparisonAlternatives

Overview

Power BI
Power BI
Stacks991
Followers946
Votes29
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5

Amazon Quicksight vs Power BI: What are the differences?

Key Differences between Amazon Quicksight and Power BI

Amazon Quicksight and Power BI are both powerful business intelligence tools that offer advanced analytics, data visualization, and reporting capabilities. However, there are several key differences between the two platforms.

  1. Data Integration and Connectivity: Amazon Quicksight provides seamless integration with various AWS data sources like S3, Redshift, Athena, and RDS, while Power BI supports a wide range of data sources, including on-premises databases, cloud-based services, and files from various applications. This gives Power BI an advantage in terms of flexibility and compatibility with different data sources.

  2. Pricing Model: Quicksight follows a pay-per-session pricing model, where users are billed based on the number of sessions or interactions with the data. On the other hand, Power BI offers a tiered licensing model, including both free and paid options, making it more suitable for organizations with diverse user requirements and budget constraints.

  3. Collaboration and Sharing: Power BI excels in collaboration and sharing capabilities, allowing users to easily collaborate with others by sharing reports, dashboards, and datasets. It provides advanced security features like row-level security and integration with Active Directory. Quicksight, on the other hand, has limited collaboration features, with the ability to share only dashboards and visuals, and lacks advanced security options like row-level security.

  4. Data Modeling and Preparation: Power BI offers a more robust and intuitive data modeling and preparation environment, with features like Power Query and Power Pivot, making it easier for users to transform and shape their data. Quicksight, although equipped with basic data transformation capabilities, lacks the advanced data modeling and preparation features offered by Power BI.

  5. Visualization Capabilities: Both Quicksight and Power BI offer a wide range of visualization options and customization features. However, Power BI provides a greater number of pre-built visualizations and custom visual options, along with advanced formatting and interaction features. Quicksight, while capable of creating visually appealing dashboards, has a more limited selection of visual types and customization options.

  6. Embedded Analytics: Power BI stands out in terms of its embedded analytics capabilities, allowing developers to seamlessly embed Power BI reports and dashboards within custom applications, websites, and portals. Quicksight has recently introduced embedded analytics, but its capabilities are still more limited compared to Power BI.

In summary, while both Amazon Quicksight and Power BI offer powerful business intelligence capabilities, Power BI provides more flexibility with data sources, advanced collaboration features, robust data modeling options, a wider array of visualization types, and stronger embedded analytics capabilities. On the other hand, Quicksight shines in its seamless integration with AWS data sources and its pay-per-session pricing model.

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Advice on Power BI, Amazon Quicksight

Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k
Comments

Detailed Comparison

Power BI
Power BI
Amazon Quicksight
Amazon Quicksight

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML Insights
Statistics
Stacks
991
Stacks
207
Followers
946
Followers
394
Votes
29
Votes
5
Pros & Cons
Pros
  • 18
    Cross-filtering
  • 4
    Database visualisation
  • 2
    Intuitive and complete internal ETL
  • 2
    Access from anywhere
  • 2
    Powerful Calculation Engine
Pros
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
  • 1
    Dataset versionning
  • 1
    Super cheap
Cons
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
Integrations
Microsoft Excel
Microsoft Excel
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to Power BI, Amazon Quicksight?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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