Amazon Quicksight vs Microsoft SSRS

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Amazon Quicksight

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Microsoft SSRS

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Amazon Quicksight vs Microsoft SSRS: What are the differences?

Introduction

This article discusses the key differences between Amazon Quicksight and Microsoft SSRS.

1. Data Sources:

Amazon Quicksight allows you to connect to a variety of data sources, including AWS services like Amazon Redshift and Amazon RDS, as well as third-party databases and file formats. On the other hand, Microsoft SSRS primarily connects to Microsoft SQL Server databases, although it also supports other data sources with additional configuration.

2. Deployment:

Amazon Quicksight is a fully managed cloud-based solution, allowing you to instantly set up and start using the service without worrying about infrastructure management. Microsoft SSRS, on the other hand, requires a dedicated server installation and configuration, making it more suitable for on-premises or hybrid deployment scenarios.

3. Collaboration and Sharing:

Amazon Quicksight provides easy sharing and collaboration capabilities, allowing users to share dashboards and reports with colleagues and stakeholders. It also supports embedding dashboards in other applications. Microsoft SSRS provides similar collaboration features, but they are primarily focused on sharing reports via web browser access or email distribution.

4. Data Preparation and Transformation:

Amazon Quicksight offers built-in data preparation capabilities, allowing you to clean, transform, and combine data from different sources within the service itself. Microsoft SSRS does not provide direct data preparation features, and requires you to perform data preparation tasks in other tools such as SQL Server Integration Services (SSIS).

5. Scalability and Performance:

Amazon Quicksight is designed to handle large amounts of data and scale to accommodate increasing user demands. It takes advantage of Amazon Web Services' infrastructure to provide high performance and scalability. Microsoft SSRS performance and scalability are dependent on the server infrastructure it is deployed on, and may require additional configuration and resources for optimal performance.

6. Pricing:

Amazon Quicksight offers a pay-per-session pricing model, where you only pay for the actual usage of the service. This can be cost-effective for organizations with infrequent or seasonal user access. Microsoft SSRS is included in SQL Server licensing, making it more suitable for organizations that already have SQL Server deployed and do not require additional licensing costs.

In Summary, Amazon Quicksight and Microsoft SSRS differ in terms of data sources, deployment models, collaboration capabilities, data preparation features, scalability and performance, and pricing models.

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Pros of Amazon Quicksight
Pros of Microsoft SSRS
  • 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
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    Cons of Amazon Quicksight
    Cons of Microsoft SSRS
    • 1
      Very basic BI tool
    • 1
      Only works in AWS environments (not GCP, Azure)
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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 Microsoft SSRS?

      It provides a set of on-premises tools and services that create, deploy, and manage mobile and paginated reports. It delivers the right information to the right users.

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      Jobs that mention Amazon Quicksight and Microsoft SSRS as a desired skillset
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      What tools integrate with Amazon Quicksight?
      What tools integrate with Microsoft SSRS?

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      What are some alternatives to Amazon Quicksight and Microsoft SSRS?
      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.
      See all alternatives