Amazon Quicksight Release Notes

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Amazon QuickSight has released improvements to 20 native chart types, enhancing visualization performance and readability. This upgrade includes improvements to Bar charts, Combo charts, Line Charts, Histogram, Scatter Plot, Boxplot, Funnel, Radar, Sankey, Waterfall, Pie, and Donut charts.

Key improvements include faster rendering performance, enhanced axis auto-scaling for optimal chart area utilization, improved data label fitting to display more labels in limited spaces, better color contrast management for improved label readability, and enhanced visualization of stacked areas with improved borders and layer opacity.

These chart improvements are seamlessly integrated and require no action from authors and readers. The upgraded charts are now available in all supported Amazon QuickSight regions.

To learn more about Amazon QuickSight visualizations and features, visit the Visual Types in Amazon QuickSight User Guide.

Today, Amazon QuickSight is announcing the general availability of a native Google Sheets connector.

Customers can now connect to Google Sheets by logging in with their Google account and importing sheets into a QuickSight SPICE dataset for analysis.

Google Sheets connector for Amazon QuickSight is now available in the following regions: US East (N.Virginia and Ohio), US West (Oregon), Canada (Central), South America (Sao Paulo), Europe (Frankfurt, Stockholm, Ireland, London), Asia Pacific (Singapore, Tokyo, Seoul, Sydney). For more details, read our blog post here.

This is a companion discussion topic for the original entry at https://aws.amazon.com/about-aws/whats-new/2025/08/amazon-quicksight-google-sheets-connector/

Amazon QuickSight is a fast, scalable, and fully managed Business Intelligence service that lets you easily create and publish interactive dashboards across your organization is now available in Israel (Tel Aviv) and United Arab Emirates (Dubai) Regions. QuickSight dashboards can be authored on any modern web browser with no clients to install or manage; dashboards can be shared with 10s of 1000s of users without the need to provision or manage any infrastructure. QuickSight dashboards can also be seamlessly embedded into your applications, portals, and websites to provide rich, interactive analytics for end-users.

With this launch, QuickSight expands to 25 regions, including: US East (Ohio and N. Virginia), US West (Oregon), Europe (Spain, Stockholm, Paris, Frankfurt, Ireland, London, Milan and Zurich), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Beijing, Tokyo and Jakarta), Canada (Central), South America (São Paulo), Africa (Cape Town), AWS GovCloud (US-East, US-West), and now Israel (Tel Aviv) and United Arab Emirates (Dubai).

To learn more about Amazon QuickSight, please see our product page, documentation and available regions here.

This is a companion discussion topic for the original entry at https://aws.amazon.com/about-aws/whats-new/2025/08/amazon-quicksight-israel-uae-region

Amazon QuickSight has increased the limits on number of calculated fields allowed in an analysis from 500 to 2000, and from 200 to 500 per dataset. This update enables authors and data curators to create more transformations on their data and draw additional complex insights. This is especially useful for authors and data curators who work with really large datasets and cater to multiple end user personas.

In regions where Amazon Q in QuickSight is available, users can also use natural language to build calculations using Q.

The new calculated fields limits are now available in all supported Amazon QuickSight regions.

To learn more about calculated fields and other QuickSight limits, visit item limits for analysis.

This is a companion discussion topic for the original entry at https://aws.amazon.com/about-aws/whats-new/2025/08/amazon-quicksight-expands-calculated-fields/

Amazon QuickSight Enterprise Edition customers can now load up to 2 billion rows of data into Super-fast Parallel In-memory Calculation Engine (SPICE) datasets. This improvement doubles previous capacity of 1 billion rows without slowing ingestion speed or query performance, enabling customers to explore business data over longer time periods or more categories to discover new business insights. Learn more.

The new SPICE dataset size limitation is now available in Amazon QuickSight Enterprise Editions in all QuickSight regions - US East (N. Virginia and Ohio), US West (Oregon), Canada, Sau Paulo, Europe (Frankfurt, Ireland and London), Asia Pacific (Mumbai, Seoul, Singapore, Sydney and Tokyo), and AWS GovCloud (US-West).

This is a companion discussion topic for the original entry at https://aws.amazon.com/about-aws/whats-new/2025/07/amazon-quicksight-2b-row-spice-dataset

Amazon QuickSight now supports Trusted Identity Propagation (TIP) for Direct Query Datasets connecting to Amazon Athena data sources. With this capability customers can apply fine grained access controls using Lake Formation Rules to govern user access to data in QuickSight. TIP allows Authors to securely control rows and columns of data returned by queries allowing the same dashboard to be used across customers or departments. For further details, visit here.

The new Athena Direct Query Trusted Identity Propagation is now available in Amazon QuickSight Standard and Enterprise Editions in all QuickSight regions - US East (N. Virginia and Ohio), US West (Oregon), Canada, Sau Paulo, Europe (Frankfurt, Ireland and London), Asia Pacific (Mumbai, Seoul, Singapore, Sydney and Tokyo), and AWS GovCloud (US-West).

This is a companion discussion topic for the original entry at https://aws.amazon.com/about-aws/whats-new/2025/07/amazon-quicksight-trusted-identity-propagation/

Amazon QuickSight launches dashboard versioning and the ability to publish any analysis to replace any dashboard to improve author productivity. Dashboard versioning enables authors to view and easily re-publish previously published versions of their dashboards as well as the notes on what updates were made by whom. Publishing any analysis to any dashboard means that authors don’t have to replace a dashboard with the analysis that it started from, but can use any other analysis in the account.

With the launch of these two features, authors can build new analyses with updates and then publish them to the existing dashboard that readers already have bookmarked. Authors don’t have to send out new links and depreciate old versions. In addition, if any issue arises from a new dashboard version, authors have the ability to revert to previous versions of the dashboard so that they can keep the dashboard in a working state while they work on the necessary changes.

Publish any analysis to any dashboard and dashboard versioning are now available in all supported Amazon QuickSight regions - go to this link for QuickSight regional endpoints.

For more details refer to documentation for publish any analysis to any dashboard or dashboard versioning.

This is a companion discussion topic for the original entry at https://aws.amazon.com/about-aws/whats-new/2025/04/amazon-quicksight-dashboard-versioning-publish-analysis-dashboard.

Amazon Q in QuickSight is now generally available in embedded dashboards and console. The Generative BI capabilities of Amazon Q in QuickSight help business analysts and business users easily build and consume insights using natural language.

With executive summaries, users of embedded dashboards can quickly grasp essential insights from any dashboard in seconds. Dashboard-authoring capabilities empower your users to build interactive dashboards more easily than ever, leveraging natural language to generate visuals and perform complex calculations with ease. With just a few lines of code, developers can integrate Generative BI capabilities into their applications by embedding the new multi-visual Q&A experience—enabling end users to confidently explore and answer questions from data. Users can prompt Amazon Q using a few words to generate a sharable document or presentation in moments that explains data, extracts key insights and visuals, and recommends best actions to improve your business.

These Amazon Q capabilities in embedded dashboards and console are now generally available in the US East (N. Virginia), US West (Oregon), Europe (Ireland, Frankfurt, London), Asia Pacific (Mumbai and Sydney) , Canada (Central) and South America (São Paulo) AWS Regions.

To learn more about Amazon Q in embedded QuickSight see the AWS Business Intelligence Blog and try Amazon QuickSight free for 30 days.

This is a companion discussion topic for the original entry at https://aws.amazon.com/about-aws/whats-new/2025/04/amazon-quicksight-q-embedded

Summary

On March 31st 2025, Amazon QuickSight launched a new feature that distinguishes between regular datasets and Rules datasets used for Row Level Security (RLS). This distinction for Rules dataset has been automatically flagged (both console and API) for RLS datasets applied to regular datasets before March 31 2025. This change requires action from dataset authors and admins when dealing with existing Rules datasets with ingestion issues or creating new Rules datasets going forward.

Documentation link here

Important Dates

• March 31, 2025: Feature launch
• May 10, 2025: Deadline for updating API scripts for creating RLS datasets with new parameter UseAs: RLS_RULES
• August 1, 2025: Enforcement of strict ingestion rules begins in QuickSight for Rules datasets that were excluded

What’s Changing?

1. Dataset Type Distinction:

QuickSight now differentiates between regular datasets (used for reporting) and Rules datasets (used for RLS). RLS datasets applied to regular datasets (before March 31 2025) will be automatically flagged as ‘Rules Dataset’ on the console.

The DescribeDataset API call will now include a new parameter: UseAs: RLS_RULES for Rules datasets.

2. Creation of New Rules Datasets:

• Console: Select the new ‘NEW RULES DATASET’ option under NEW DATASET
• Programmatic: Add the parameter UseAs: RLS_RULES when creating datasets.

3. Strict Ingestion Rules for RLS Datasets:

Amazon QuickSight has already identified existing customers with ingestion issues on Rules datasets. Communication will begin the week of April 7th. Starting August 1st 2025, QuickSight will start enforcing stricter ingestion rules in SPICE for those Rules datasets to ensure data integrity. Previously: Issues like truncated strings or skipped rows were flagged but ingestion proceeded. Starting August 1st: Such issues will cause ingestion to fail. Authors must take action to review the ingestion summary report and address any string truncation or skipped row issues on their Rules datasets. Failing to take action will result in ingestion failures starting August 1st 2025 and could result in the RLS data being applied incorrectly.

Who is Affected?

• Dataset authors/admins creating new Rules datasets
• Authors with existing Rules datasets that have string truncation or skipped row issues in ingestion

Other FAQs:

• Rules dataset creation:

  • If I already have an RLS dataset but haven’t applied to a regular dataset (before March 31), how will it be identified? If it is not flagged as a Rules dataset, how to convert it?
  • If you have an existing RLS dataset that was not applied to any dataset (by March 31st), it will be considered as a regular dataset and not flagged as a Rules dataset. In order to use this as a Rules dataset, duplicate the dataset and in the process of dataset creation, select DUPLICATE AS RULES DATASET option in the console or recreate the dataset with the parameter UseAs: RLS_RULES if creating programmatically

• Rules dataset updates:

  • Once a dataset has been flagged as a Rules Dataset, will programmatically updating the Rules dataset cause any issues?
  • No. UpdateDataset API will not require UseAs parameter input. As noted earlier, once the dataset has been flagged as Regular vs Rules Dataset, UseAs parameter will be retroactively updated for rules datasets applied before March 31.

• Other callouts:

  • No impact to already identified Rules datasets without any ingestion issues
  • No impact to regular datasets