Comparison of Amazon Quicksight Vs Tableau
Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning.
To learn more about Amazon Quicksight, Refer to our post – http://www.cloudinfonow.com/amazon-quicksight/
Tableau is offers a visual-based exploration experience that enables business users to access, prepare, analyze and present findings in their data.
|Data Visualization and Analysis||Amazon QuickSight supports assorted visualizations that facilitate different analytical approaches.|
Amazon QuickSight has an innovative technology called AutoGraph that allows it to select the most appropriate visualizations based on the properties of the data, such as cardinality and data type.
|Tableau has consistently delivered on its beautiful eye catching data visualization capabilities,|
|Advanced Analytics||QuickSight’s ML-powered Anomaly Detection can continuously analyze all of your data to discover anomalies and variations inside of the aggregates, giving you the insights to act when business changes occur.|
QuickSight’s ML-powered Forecasting to accurately predict your business metrics, and perform interactive what-if analysis with point-and-click simplicity.
|Tableau provides flexible tools for intuitive and rapid Cohort Analysis & Segmentation. It can seamlessly perform slicing and dicing operations on data along as many dimensions as required. Automated Clustering can also help in this Segmentation using the pre-processed datasets.|
|Price||QuickSight offers a unique, industry first pay-per-session model for dashboard readers, users who consume dashboards others have created.||Tableau has multiple components, including Tableau Desktop, Tableau Prep, Tableau Server and Tableau Online, which form the basis for a strong self-service workflow, but optimizing product and licensing configurations can be complex.|
|Natural Language Generation||With QuickSight Q, anyone in an organization can ask business questions in natural language and receive accurate answers with relevant visualizations that help them gain insights from the data.||Tableau’s new tool, Ask Data, is a natural language processor that allows users to ask questions in plain language and get answers about their data in the form of a visualization.|
|Automated Insights and Story Telling||Stories are guided tours through specific views of an analysis. They are used to convey key points, a thought process, or the evolution of an analysis for collaboration. You can construct them in Amazon QuickSight by capturing and annotating specific states of the analysis.||In Tableau, a story is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case.|
|Data Source Connectivity||QuickSight allows you to directly connect to and import data from a wide variety of cloud and on-premises data sources. These include SaaS applications such as Salesforce, Square, ServiceNow, Twitter, Github, and JIRA; 3rd party databases such as Teradata, MySQL, Postgres, and SQL Server; native AWS services such as Redshift, Athena, S3, RDS, and Aurora; and private VPC subnets.||Tableau supports connecting to a wide variety of data, stored in a variety of places.|
|Platform Administration||QuickSight is serverless and can automatically scale to tens of thousands of users without any infrastructure to manage or capacity to plan for.||Good amount of administration required with Tableau|
|Mobile Exploration and Authoring||QuickSight Mobile for iOS and Android enables you to securely get insights from your data from anywhere.||Tableau Mobile is the companion app for Tableau Online and Tableau Server, giving you access to your Tableau site on the go. Available for Android and iOS, Tableau Mobile lets you interact with the content on your site and discover data insights, even if you’re offline.|
|Data Preparation||Datasets store any data preparation you have done on that data, so that you can reuse that prepared data in multiple analyses. Data preparation provides options such as adding calculated fields, applying filters, and changing field names or data types. |
If you want to transform the data from a data source before using it in Amazon QuickSight, you can prepare it to suit your needs. You then save this preparation as part of the dataset.
|Preparing data in Tableau is robust and user-friendly, allowing complex flows built with a visual drag-and-drop interface and aided by ML-based recommendations.|
|Governance and Security||Quicksight provides a secure platform allowing you to distribute dashboards and insights securely to tens of thousands of users. QuickSight is also FedRamp, HIPAA, PCI PSS, ISO, and SOC compliant to help you meet any industry-specific or regulatory requirements.||Governance and metadata management is particularly strong in Tableau with its recent Tableau Catalog product available with the Data Management Add-on.|
|Support||AWS has best in class Technical support and continuously add new features||Tableau support is good and continuously add new features|