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  5. Amazon Quicksight vs Microsoft SSRS

Amazon Quicksight vs Microsoft SSRS

OverviewComparisonAlternatives

Overview

Microsoft SSRS
Microsoft SSRS
Stacks96
Followers138
Votes0
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5

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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Detailed Comparison

Microsoft SSRS
Microsoft SSRS
Amazon Quicksight
Amazon Quicksight

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.

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.

"Traditional" paginated reports; New mobile reports; A modern web portal
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
96
Stacks
207
Followers
138
Followers
394
Votes
0
Votes
5
Pros & Cons
No community feedback yet
Pros
  • 1
    Super cheap
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
  • 1
    Dataset versionning
Cons
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
Integrations
Microsoft SQL Server
Microsoft SQL Server
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to Microsoft SSRS, 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.

Power BI

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.

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.

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