What's New in Amazon QuickSight
This section covers what's new in Amazon QuickSight.
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ML-powered Anomaly Detection Amazon QuickSight uses proven Amazon technology to continuously run anomaly detection powered by machine learning on millions of metrics and billions of data points. This anomaly detection enables you to get deep insights that are often buried in the aggregates, not visible in plain sight, and not scalable with manual analysis. With ML-powered anomaly detection, there's no need for manual analysis, custom development, or domain expertise in machine learning. For more information, see ML-Powered Anomaly Detection. March 2019 |
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ML-powered Forecasting With forecasting and what-if scenarios powered by machine learning, nontechnical users can now easily forecast their key business metrics. No machine learning expertise or Microsoft Excel data modeling is required. The built-in ML algorithm in Amazon QuickSight is designed to handle complex real-world scenarios. Amazon QuickSight uses ML to provide more reliable forecasts than traditional means. For more information, see ML-powered Forecasts and What-Ifs. March 2019 |
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Auto-narratives Automatic narratives provide key insights in everyday language, embedded contextually in your dashboard, saving hours on manual analysis. With automatic narratives, Amazon QuickSight interprets the charts and tables in your dashboard and provides a number of suggested insights in natural language. Depending on the shape and form of your data, you might get suggestions such as what the day-over-day changes look like, what was the highest sales date, what the growth rate is at and what the forecast looks like for the next seven days. As the author of the dashboard, you can customize the computations and business language for your needs. You can use automatic narratives to effectively tell the story of your data in plain language. For more information, see Auto-narrative Insights. March 2019 |
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Custom window functions Using custom window functions, you can calculate any aggregation for a defined window at the point your choose. You can define the window offsets you need. For more information, see Table Calculations. March 2019 |
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RLS support for email reports You can now create email reports with data tailored to each of your users and groups, for data sets that use row-level security. Amazon QuickSight generates a custom email snapshot for each user or group based on the data permissions that are defined in the dashboard. RLS for email reports works for both scheduled and ad hoc emails. For more information, see Sending Reports. March 2019 |
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High cardinality filters Amazon QuickSight now supports unbounded cardinality. That means you can have more than 10,000 values in your control or filter. Parameter Controls. March 2019 |
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New table calculations You can now create calculated fields with percentileOver, runningAvg, runningCount, runningMax, runningMin. For more information, see Calculated Field Function and Operator Reference. February 2019 |
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Conditional aggregations You can now create calculated fields to perform sumIf, countIf, minIf, maxIf, avgIf, and distinct_countIf. For more information, see Calculated Fields. January 2019 |
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Join editor enhancements We enhanced the join editor to increase usability and functionality. You can now add tables from one or more schemas on the same data source, or add the same table twice. For more information, see Joining Tables. January 2019 |
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Pivot table enhancements Pivot tables now support infinite scrolling through millions of rows. You can add up to 20 fields for columns, and 20 fields for rows. Plus, you can add subtotals and totals to rows and columns. For more information, see Pivot Tables. January 2019 |
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Join editor enhancements, cross schema data sources, and self joins We enhanced the join editor to increase usability and functionality. You can now add tables from one or more schemas on the same data source, or add the same table twice. For more information, see Joining Tables. January 2019 |
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New API for embedding QuickSight dashboards You can embed dashboards and manage users or groups by using the Amazon QuickSight SDKs. For more information, see Embedding and Other SDKs. November 2018 |
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New APIs for user and group management Manage users or groups by using the Amazon QuickSight SDKs or by using the AWS CLI. For more information, see https://docs.aws.amazon.com/quicksight/latest/APIReference/qs-api-actions-by-function.html. November 2018 |
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RLS group support and cascading controls You can use groups with row-level security (RLS), and you can add cascading controls for parameters. For more information, see Row Level Security. November 2018 |
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Top/bottom filters Use a top and bottom filter to show the top or bottom n for the field you choose, based on values in another field. For example, you could choose to show the top five sales people based on revenue. For more information, see Adding a Text Filter. November 2018 |
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Support for parseJSON data type in source tables Use JSON native data types with parseJson. For more information, see October 2018 |
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Date functions nad URL parameters Use date functions to find out what quarter a date is in: Add parameters to URLs. For more information see, Using Parameters in a URL. September 2018 |
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SPICE sorting You can sort strings in SPICE data sets. For more information on these features, see Sorting Visual Data in Amazon QuickSight August 2018 |
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Scheduled email reports You can schedule emailed reports, and add data labels to your visuals. For more information on these features, see the following sections: August 2018 |
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Table calculations and time data granularity You can create table calculations, using aggregated measures to discover how dimensions influence measures or each other. Also, you can visualize time data at granularities as low as one minute. For more information on these features, see the following sections: August 2018 |
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Customize labels, format counts, replace data sets, and new smaller visuals You can replace data sets, customize labels, and format dimensions that are aggregated with count and count distinct. Also, new visuals start out smaller in size. For more information on these features, see the following sections: June 2018 |
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New reader role and usage-based pricing, plus ability to upgrade subscriptions, and a new region You can upgrade your Amazon QuickSight subscription from Standard edition to Enterprise edition. In Enterprise edition, Amazon QuickSight supports usage-based pricing for users in the reader role, sharing dashboards with all users in the reader role, and hourly refresh of data sets. Also, Amazon QuickSight is available in Asia Pacific (Tokyo). For more information on these features, see the following sections: May 2018 |
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New reader role and usage-based pricing, upgrade subscriptions, private connections with VPC, and more Amazon QuickSight supports private connections to data in a VPC with a private subnet in Enterprise edition. In both editions, Amazon QuickSight supports parameters with on-sheet controls, dashboard co-ownership, custom URL actions, and 25-GB SPICE data sets. For more information on these features, see the following sections: May 2018 |
