Amazon Quicksight vs Redash

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Amazon Quicksight

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393
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Redash

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Amazon Quicksight vs Redash: What are the differences?

Key Differences between Amazon Quicksight and Redash

Amazon Quicksight and Redash are both data visualization tools that offer powerful features for organizations to analyze and present their data. However, there are several distinct differences between these platforms:

  1. Data Source Integration: Amazon Quicksight primarily works with data sources within the AWS ecosystem, such as Amazon S3, Redshift, and RDS. On the other hand, Redash supports a wide range of data sources, including databases, APIs, and cloud services, making it more versatile in integrating with various data platforms.

  2. Ease of Use and User Interface: Quicksight has a more user-friendly and visually appealing user interface, providing a seamless experience for creating and sharing visualizations. Redash, while still easy to use, has a more simplistic interface that focuses more on functionality rather than aesthetics.

  3. Collaboration and Sharing: Quicksight offers more advanced collaboration features, such as shared dashboards and scheduled email reports, allowing users to work together and distribute insights effectively. Redash also supports collaboration but lacks some of the advanced sharing options provided by Quicksight.

  4. Pricing and Deployment Options: Quicksight has various pricing tiers, including a free option, making it more accessible for small teams or individual users. Redash, on the other hand, is an open-source tool that can be hosted on-premise or in the cloud, providing more flexibility for organizations with specific deployment requirements.

  5. Data Manipulation and Transformation: While both tools allow basic data manipulation and transformation, Redash provides more advanced capabilities, such as query parameterization and custom queries, allowing users to have greater control over their data analysis process. Quicksight, on the other hand, is more focused on providing pre-built visualizations and dashboards.

  6. Data Governance and Security: Quicksight has several built-in security features, such as encryption at rest and data source permissions, ensuring data governance and compliance. Redash, being an open-source platform, might require additional configuration for the same level of security.

In summary, Amazon Quicksight is a more integrated and user-friendly solution within the AWS ecosystem, suitable for users who primarily work with AWS data sources. On the other hand, Redash offers more flexibility, advanced data manipulation capabilities, and deployment options for users who require a more versatile tool with a broader range of data sources.

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Pros of Amazon Quicksight
Pros of Redash
  • 1
    Dataset versionning
  • 1
    Good integration with aws Glue ETL services
  • 1
    More features (table calculations, functions, insights)
  • 1
    Better integration with aws
  • 1
    Super cheap
  • 9
    Open Source
  • 3
    SQL Friendly

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Cons of Amazon Quicksight
Cons of Redash
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks

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What is Amazon Quicksight?

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.

What is 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.

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What companies use Amazon Quicksight?
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What are some alternatives to Amazon Quicksight and Redash?
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.
DOMO
Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
Looker
We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
Power BI
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 Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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