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Amazon QuickSight FAQs
General
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QuickSight is a fast, easy-to-use, cloud-powered business analytics service that makes it easier for all employees within an organization to build visualizations, perform ad-hoc analysis, and quickly get business insights from their data, anytime, on any device. Upload CSV and Excel files; access on-premises databases like SQL Server, MySQL, and PostgreSQL; connect to your data lakes and data warehouses such as Databricks, Snowflake and Teradata, and seamlessly discover your Amazon Web Services data sources such as Amazon Redshift, Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Athena, and Amazon Simple Storage Service (Amazon S3). QuickSight enables organizations to scale their business analytics capabilities to hundreds of thousands of users, and delivers fast and responsive query performance by using a robust in-memory engine (SPICE).
Traditional BI solutions often require teams of data engineers to spend months building complex data models before generating a report. They typically lack interactive ad-hoc data exploration and visualization, limiting users to canned reports and pre-selected queries. Traditional BI solutions also require significant up-front investment in complex and costly hardware and software, and then customers to invest in even more infrastructure to maintain fast query performance as database sizes grow. This cost and complexity make it difficult for companies to enable analytics solutions across their organizations. QuickSight has been designed to solve these problems by bringing the scale and flexibility of the Amazon Web Services Cloud to business analytics. Unlike traditional BI or data discovery solutions, getting started with QuickSight is simple and fast. When you log in, QuickSight seamlessly discovers your data sources in Amazon Web Services Cloud such as Amazon Redshift, Amazon RDS, Amazon Athena, and Amazon S3. You can connect to any of the data sources discovered by QuickSight and get insights from this data in minutes. You can choose for QuickSight to keep the data in SPICE up to date as the data in the underlying sources change. SPICE supports rich data discovery and business analytics capabilities to help customers derive valuable insights from their data without worrying about provisioning or managing infrastructure. Organizations pay a low monthly fee for each QuickSight user, eliminating the cost of long-term licenses. With QuickSight, organizations can deliver rich business analytics functionality to all employees without incurring a huge cost upfront.
QuickSight is built with SPICE—a Super-fast, Parallel, In-memory Calculation Engine. Built from the ground up for the cloud, SPICE uses a combination of columnar storage, in-memory technologies enabled through the latest hardware innovations and machine code generation to run interactive queries on large datasets and get rapid responses. SPICE supports rich calculations to help you derive valuable insights from your analysis without worrying about provisioning or managing infrastructure. Data in SPICE is persisted until it is explicitly deleted by the user. SPICE also automatically replicates data for high availability and enables QuickSight to scale to hundreds of thousands of users who can all simultaneously perform fast interactive analysis across a wide variety of Amazon Web Services data sources.
To get started, sign up to QuickSight, with four authors free in trial for 30 days.
Your privileged QuickSight account administrator needs to first grant QuickSight IAM permissions to make SageMaker API calls on your behalf. To learn more, see documentation on granting QuickSight IAM permissions.
Authors and Readers
Open allA QuickSight Reader is a user who consumes interactive dashboards. Readers can log in via their organization’s preferred authentication mechanism (QuickSight username/password, SAML portal or AD auth), view shared dashboards, filter data, drill down to details or export data as a CSV file, using a web browser or mobile app. Readers do not have any allocated SPICE capacity.
Individual end-users can be provisioned to access QuickSight as Readers. Reader pricing applies to manual session interactions only. We reserve the right charge for the reader at the higher monthly author rate if, in our discretion, we determine that you are using reader sessions for other types of use (for example, programmatic or automated queries).
QuickSight Reader pricing applies to interactive consumption of data by individual users. A fair use policy applies, and any abuse of the system will result in the Reader being metered as an Author. To avoid such situations, we recommend that programmatic refresh of dashboards, if needed, be performed from an Author account.
A QuickSight Admin is a user who can manage QuickSight users and account-level preferences, as well as purchase SPICE capacity and annual subscriptions for the account. Admins also have all QuickSight authoring capabilities. For billing purposes, QuickSight Authors and Admins are both recognized as Authors.
QuickSight Reader sessions are of 30-minute durations each. Each session is charged at 2.02 CNY with maximum charges of 33.65 CNY per Reader in a month.
A Reader session starts with a user-initiated action (for example, login, dashboard load, page refresh, drill-down, or filtering) and runs for next 30 minutes. Keeping QuickSight open in a background browser window/tab does not result in active sessions until the Reader initiates action on the page.
No, Reader sessions are transparent to the QuickSight Reader. Reader sessions will be automatically renewed in 30-minute intervals, and time out 30 minutes after start upon inactivity. Readers will only be logged out of QuickSight when their authentication expires, which is dependent on the authentication scheme in place.
No, having QuickSight open in a background tab will not result in usage charges. A session is only initiated when there is explicit Reader activity on the QuickSight web application. If the QuickSight page is moved to the background or minimized, there will be no additional sessions charged (beyond any sessions initiated when the Reader was active on the window/tab) until the Reader interacts with QuickSight again.
A Reader will be charged 2.02 CNY a session up to a maximum of 33.65 CNY/month, after which the Reader can access QuickSight at no charge for additional sessions.
QuickSight Reader pricing applies to interactive consumption of data by end users in an organization. For programmatic access and scripted refresh, we recommend use of an Author account to comply with fair use policies associated with the QuickSight Reader.
Mobile and web access
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Amazon QuickSight mobile app is not available in China.
QuickSight supports the latest versions of Mozilla Firefox, Chrome, Safari, Internet Explorer version 10 and above, and Edge.
Data management
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You can connect to Amazon Web Services data sources including Amazon RDS, Amazon Aurora, Amazon Redshift, Amazon Athena and Amazon S3. You can also upload Excel spreadsheets or flat files (CSV, TSV, CLF, and ELF), connect to on-premises databases like SQL Server, MySQL and PostgreSQL and connect to your data lakes and data warehouses such as Databricks, Snowflake and Teradata.
Yes. To connect QuickSight to an Amazon Elastic Compute Cloud (Amazon EC2) or on-premises database, you need to add the Amazon QuickSight IP range to the authorized list in your hosted database.
You can upload XLSX, CSV, TSV, CLF, XLF data files directly from the QuickSight website. You can also upload them to an Amazon S3 bucket and point QuickSight to the S3 object.
QuickSight seamlessly discovers your Amazon Web Services data sources that are available in your account with your approval. You can immediately start browsing the data and building visualizations. You can also explicitly connect to other Amazon Web Services data sources that are not in your account or in a different region by providing connection details for those sources.
QuickSight lets you prepare data that is not ready for visualization. Select the “Edit/Preview Data” button in the connection dialog. QuickSight supports various functions to format and transform your data. You can alias data fields and change data types. You can subset your data using built in filters and perform database join operations using drag and drop. You can also create calculated fields using mathematical operations and built-in functions such conditional statements, string, numerical and date functions.
With QuickSight, you don’t need to worry about scale. You can seamlessly grow your data from a few hundred megabytes to many terabytes of data without managing any infrastructure.
The first step is to connect the data source from which you want to pull data. Once you’re connected to a data source, select the “Augment with SageMaker” option. From there, you pick the model you want to use from a list of SageMaker models in your Amazon Web Services account and provide the schema file, which is a JSON-formatted file that contains the input, output, and runtime settings. Review the input schema mapping with the columns in your data set. Once you’re done, you can execute this job and start running the inference.
QuickSight does inference on the full data every time it refreshes.
User management
Open allWhen you create a new QuickSight account, you have administrative privileges by default. If you become a QuickSight user, whoever adds you assigns you either an ADMIN or a USER role. If you have an ADMIN role, you can create and delete user accounts, purchase annual subscriptions and SPICE capacity in addition to using the service.
To create a user account you can use Amazon Identity Center and QuickSight API.
Visualization and analysis
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Creating an analysis is simple. QuickSight seamlessly discovers data in popular Amazon Web Services data repositories within your Amazon Web Services account. Simply point QuickSight to one of the discovered data sources. To connect to another Amazon Web Services data source that is not in your Amazon Web Services account or in a different Region, you can provide the connection details of the source. Then, select a table and start analyzing your data. You can also upload spreadsheets and CSV files and use QuickSight to analyze your files. To create a visualization, start by selecting the data fields you want to analyze, or drag the fields directly on to the visual canvas, or a combination of both actions. QuickSight will automatically select the appropriate visualization to display based on the data you’ve selected.
QuickSight has an innovative technology called AutoGraph that allows it to select the appropriate visualizations based on the properties of the data, such as cardinality and data type. The visualization types are chosen to reveal the data and relationships in an effective way.
Dashboards are a collection of visualizations, tables, and other visual displays arranged and visible together. With QuickSight, you can compose a dashboard within an analysis by arranging the layouts and size of visualizations and then publish the dashboard to an audience within your organization.
QuickSight supports assorted visualizations that facilitate different analytical approaches:
- Comparison and distribution
- Bar charts (several assorted variants)
- Changes over time• Line graphs
- Area line charts
- Correlation
- Scatter plots
- Heat maps
- Aggregation
- Pie graphs
- Tree maps
- Tabular
- Pivot tables
QuickSight comes with a built-in suggestion engine that provides you with suggested visualizations based on the properties of the underlying datasets. Suggestions serve as possible first or next-steps of an analysis and removes the time-consuming task of interrogating and understanding the schema of your data. As you work with more specific data, the suggestions will update to reflect the next steps appropriate to your current analysis.
You can perform typical arithmetic and comparison functions; conditional functions such as if,then; and date, numeric, and string calculations.
For your convenience, sample analyses are automatically generated when you create an account in Amazon QuickSight. The raw data can also be downloaded from the links below:
These datasets were created by 47Lining, an Amazon Web Services Advanced Consulting Partner with Big Data Competency designation.
Security and access
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You have several options to get your data into QuickSight: file upload, connect to Amazon Web Services data sources, connect to external data stores over JDBC/ODBC, or through other API-based data store connectors.
Yes. For better performance and user interactivity, customers are advised to use the region where your data is stored. The QuickSight auto discovery feature detects data sources only within the Region of the QuickSight endpoint to which you are connected.
Yes. You can enable multi-factor authentication (MFA) for your Amazon Web Services account using the Amazon Web Services Management Console.
If your VPC has been set up with public connectivity, you can add a QuickSight IP address range to your database instances’ security group rules to enable traffic flow into your VPC and database instances.
Row-level security (RLS) enables QuickSight dataset owners to control access to data at row granularity based on permissions associated with the user interacting with the data. With RLS, QuickSight users only need to manage a single set of data and apply appropriate row-level dataset rules to it. All associated dashboards and analyses will enforce these rules, simplifying dataset management and removing the need to maintain multiple datasets for users with different data access privileges.
If you have data in Amazon Web Services Cloud (perhaps in Amazon Redshift, Amazon RDS, or on EC2) or on-premises in Teradata or SQL Server on servers without public connectivity, this feature is for you. Private VPC (virtual private cloud) Access for QuickSight uses an Elastic Network Interface (ENI) for secure, private communication with data sources in a VPC. It also allows you to use Amazon Direct Connect to create a secure, private link with your on-premises resources.