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AWS Announces Five New Capabilities for Amazon QuickSight

New capabilities in Amazon QuickSight Q enable customers to forecast and to ask “why” questions

Automated data preparation makes it faster for customers to  start asking questions of their data using Amazon QuickSight Q

New paginated reporting feature makes it easy for customers to create and share business-critical operational reports using the familiar Amazon QuickSight interface

Amazon QuickSight’s in-memory engine now supports 1 billion rows of data, making it easier and faster to analyze and visualize large datasets

Customers can now programmatically create, manage, and edit Amazon QuickSight dashboards and reports to accelerate migrations from legacy systems

LAS VEGAS--( BUSINESS WIRE )--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced five new capabilities to help customers streamline business intelligence (BI) operations using Amazon QuickSight, the most popular serverless BI service built for the cloud. Today’s announcement expands QuickSight Q, a natural language querying capability, to support forecast and “why” questions and automate data preparation, making it easier and faster to start asking questions in natural language. Additionally, customers can now create and share paginated reports alongside interactive dashboards, quickly analyze and visualize billion-row datasets directly in QuickSight, and programmatically create and manage BI assets to accelerate migration from legacy systems. The new features announced today, combined with QuickSight’s scalability and pay-as-you-go pricing, enable customers to let users understand, visualize, and derive insights and predictions from data, regardless of technical expertise. To get started with QuickSight, visit  aws.amazon.com/quicksight .

“Organizations today are composed of numerous stakeholders with varying levels of technical expertise—all of whom need access to critical business insights to make better decisions and share knowledge,” said G2 Krishnamoorthy, vice president of Analytics at AWS. “That is why more than 100,000 customers use QuickSight to power their BI needs. Today’s announcement makes QuickSight even more intuitive, flexible, and accessible while streamlining BI operations with a comprehensive and fast service built for the cloud. Whether users want to forecast sales using natural language queries, distribute critical operational reports, embed analytics in high-traffic websites, or visually analyze massive datasets, we continue to innovate on behalf of our customers by providing advanced BI capabilities that support data-driven decisions at scale.”

Companies today gather unprecedented amounts of data that they want to use to make informed decisions, spot business trends, and increase efficiency. To help employees turn data into action, organizations must make this data accessible to a broad audience in formats ranging from natural language querying and paginated reports to interactive dashboards and embedded analytics. Amazon QuickSight, the most popular serverless BI service built for the cloud, makes this possible for customers including 3M, Best Western, Bristol-Myers Squibb, Capital One, Comcast, Experian, Guardian Life, McDonald’s, the National Football League, NTT DOCOMO, Siemens, and United Airlines. QuickSight has added more than 80 capabilities in the past year alone, making it easier for customers to deliver valuable business insights throughout their organizations, when and where needed. Today’s announcement builds on these advances to help customers migrate and consolidate their BI initiatives in the cloud.

• Support for forecast and "why" questions in Amazon QuickSight Q:  QuickSight Q uses machine learning to enable any user to ask questions about business data in natural language and receive accurate answers with relevant visualizations in seconds. QuickSight Q lets anyone explore historical trends and metrics without technical expertise, allowing users to derive new insights from the data that powers their dashboards and reports. For example, a sales user could ask, “Where did we sell the most items last year?” or a finance user could ask, “What is actual revenue compared to goal?” Many users want to dig even deeper to understand the underlying causes of different metrics or to model potential growth. With the new capabilities in QuickSight Q, business users can now ask forecast questions to project metrics if historical patterns hold and also ask "why" questions to see what historical data contributed to specific results. For example, a sales manager might ask to "Forecast sales for office chairs in California." QuickSight Q will provide a forecast of sales based on patterns of previous metrics that automatically account for seasonality and anomalous data. The sales manager might then ask, "Why did sales increase last month?" Within seconds, QuickSight Q summarizes the key drivers of that increase. That means business users can better understand underlying factors, and they can make more data-driven decisions that determine future outcomes. Support for forecast and “why” questions is available at no additional cost to all QuickSight Q customers.
• Automated data preparation for Amazon QuickSight Q :  A new capability in QuickSight Q automatically infers and adds semantic information to datasets, reducing the time BI teams spend prepping data for natural language querying from days to minutes. To prepare data for natural language queries, BI teams today must manually translate shorthand representations and abbreviations optimized for BI dashboards or SQL queries into commonly used business terms (e.g., cust_ID translates to Customer ID). The automated data preparation feature in QuickSight Q uses pretrained machine learning models and learnings from a customer’s existing assets (e.g., dashboards and reports) to preconfigure business terms in each new dataset in minutes, reducing the time it takes to start querying data. For example, a streaming service could use the QuickSight Q automated data preparation capability to preconfigure business terms for a dataset by using a preexisting dashboard that includes subscriber information by customer categories, customer IDs, and geographic locations. If a marketing manager is planning a launch campaign, they can ask, "How many premium subscribers do we have in Los Angeles?" and QuickSight Q will return precise results. Automated data preparation is available at no additional cost to all QuickSight Q customers.
• Paginated reporting built for the cloud:  Paginated reports provide a formatted, printable summary of data that organizations can use to broadly share critical operational information like daily transaction summaries and weekly updates with business users (e.g., executives, managers, and front-line workers). While many organizations have adopted modern BI products, those tools lack the ability to create and share paginated reports. This means customers often maintain multiple systems—one for modern BI needs and a separate legacy system for paginated reports. These on-premises systems can cost millions of dollars in infrastructure, have rigid license fees, and require dedicated resources to maintain, including replicating datasets across both systems. With Amazon QuickSight Paginated Reports, customers can now create, consume, and manage paginated reports in the cloud with the familiar QuickSight interface, eliminating the costs and complexity of a separate on-premises system. BI teams can use QuickSight’s point-and-click dashboard and report-authoring interface to create and publish reports in minutes, without learning a new tool or managing any infrastructure. Business users can access the reports alongside their interactive dashboards directly in QuickSight. QuickSight Paginated Reports is available as an add-on to all QuickSight Enterprise Edition customers.
• Simple and fast analysis for large datasets:  Amazon QuickSight’s Super-fast, Parallel, In-memory, Calculation Engine (SPICE) provides lightning-fast performance at scale, handling more than 100 million queries every week and processing an average of tens of trillions of records per hour. Today, SPICE enables thousands of users in an organization to perform fast, interactive analyses simultaneously without any infrastructure setup or management. While SPICE supports datasets of up to 500 million rows, customers who want to use QuickSight's rich visualizations to explore even larger datasets have previously had to rely on data engineers to manually orchestrate data between QuickSight and another data store (e.g., Amazon RDS, Amazon Redshift, or another data warehouse), which made it challenging to access and analyze very large datasets quickly. With billion-row support in SPICE, it’s easier to connect to data stores and ingest data into SPICE. Users now have greater autonomy to visually analyze large datasets directly in QuickSight, without coordinating with engineering teams to manually orchestrate data among services. Support for billion-row datasets is now available to all QuickSight Enterprise Edition customers.
• Faster, programmatic migration to the cloud :  QuickSight’s expanded application programming interface (API) capabilities now allow customers to create, manage, and edit their BI assets (e.g., dashboards, analysis, and reports) programmatically, helping accelerate and streamline migrations from on-premises legacy systems. Today’s BI tools lack full programmatic access to dashboards and reports, significantly complicating migration to a cloud-based BI offering. To move to the cloud, customers might need to re-create tens of thousands of dashboards and reports from scratch, which could take years. This barrier prevents many businesses from migrating away from legacy systems. API-based access to the underlying data models of dashboards and reports allows customers and partners to treat these assets like software source code, enabling fully programmatic deployments, peer code reviews, and auditability of all changes. Programmatic access to dashboards is available to all QuickSight Enterprise Edition customers at no additional cost.

Nasdaq is a global technology company serving the capital markets and other industries. “QuickSight Q has been a game changer in enabling executives, sales, and data engineering teams to get answers from data instantaneously. In many scenarios, our teams want to go beyond historical trends or current data snapshots to understand why something happened and forecast trends,” said Michael Weiss, product manager at Nasdaq North American Markets. “QuickSight Q’s new ‘why’ feature will help our users understand the top dimensions and values that contributed most to changes in key metrics, while forecasting will help our users explore forward-looking insights like future revenue and market share growth across market segments and customers. These new capabilities in QuickSight Q will help us accelerate BI adoption by fully automating complex data analyses and helping end users self-serve without the need for analyst-built models and analyses.”

Siemens is a global leader in electrification, automation, and digitalization. “At Siemens we power some of the largest manufacturing organizations in the world with our software-as-a-service solutions. Operational reporting has been a key requirement to ensure all of our customers receive detailed visibility into their organizational activities. While we have tried different solutions over the years, we consistently face challenges with reliability, stability, and ease-of-use,” said Massimilliano Ponticelli, product manager at Siemens. “We are excited that QuickSight now has paginated reporting capabilities built in, so we can use a single interface for both interactive dashboards and operational reports. This will help us further streamline our operations and ensure our customers have full visibility into every aspect of their business.”

Capital One is a leading financial institution specializing in credit cards, auto loans, banking, and savings accounts. “Many of our teams across all our lines of business rely on QuickSight to ensure users can access timely insights to make data-driven decisions, whether directly in QuickSight or embedded in line-of-business applications,” said Latha Govada, director of Enterprise Data Consumption Platforms at Capital One. “We are excited about QuickSight Paginated Reports, as it will give our users a greater choice of how they consume the data they need, without having to use a separate product. The ability to programmatically create and manage dashboards will also allow us to further automate and strengthen our BI operations. We love the pace of QuickSight innovation, which lets our teams be more agile with every release.”

Best Western Hotels & Resorts is an award-winning global family of hotels located in nearly 100 countries and territories that offers accommodations for all types of travelers. “We are a large and complex organization with 18 brands and varied ownership structures across geographies. Moving to QuickSight from legacy BI has helped us expand to over 23,000 users and reduce our costs by 30%. With QuickSight, we were able to consolidate multiple BI solutions and data sources to enable faster, more holistic insights,” said Joseph Landucci, director of Technology Management at Best Western. “The expansion of QuickSight’s SPICE capability to accommodate billion row datasets will provide us with continued performance at scale across a wide range of use cases, including marketing statistics, advance booking patterns, daily occupancy rates, and loyalty program information. Additionally, QuickSight Paginated Reports will allow us to bring to the fold users who prefer to have highly-formatted reports shared directly with them when needed, helping further our mission to democratize data across our organization.”

NISSAN is an international automotive company which sells vehicles under the Nissan, Infiniti, and Datsun brands. “As we scale the use of dashboards and reports to share data-driven insights on connected car data across our organization, it is becoming increasingly difficult to rely on the time-consuming and error-prone process of manually deploying BI assets,” said Daisuke Hyodo, deputy general manager of Research and Development, Data Science, and Global IT at NISSAN. “As an agile data and analytics team, we are excited to use QuickSight’s expanded API capabilities to programmatically manage analyses and dashboard assets in our DevOps pipeline. This will allow us to promote changes faster and quickly share valuable insights with our end users.”

Traeger Grills is a leading provider of smokers, grills, and barbeque products. “Our operations team uses QuickSight to deliver fast, accurate information and solutions to our customers and partners. It has helped us realize a 90% reduction in our BI costs while serving over 700 users across a variety of use cases, from distribution center forecasts to reporting Amazon Connect call center metrics. It has also allowed us to enable augmented self-service by allowing users to ask questions in natural language directly in QuickSight Q without having to wait for an analyst, and to ensure consistent high performance with QuickSight's SPICE data engine,” said Corey Savory-Venzke, vice president of Customer Experience at Traeger. “We are excited about the new forecast and ‘why’ capabilities in QuickSight Q, which will help our users gain a deeper understanding of their data. As our usage and datasets grow, SPICE's ability to handle 1 billion row datasets will also be critical in ensuring consistent high-performance for all our users.”

Anthology provides a holistic ecosystem of EdTech solutions for over 150 million learners, educators, and administrators in over 80 countries. “Sharing business insights from across our EdTech platform is a critical part of our mission to provide dynamic, data-informed experiences to the global education community. While almost everyone would benefit from these insights, not everyone wants to fetch information from a dashboard,” said Steve Bailey, director of Product Management, Data, and Analytics at Anthology. “We are excited about QuickSight Paginated Reports, which will help our end-users access business-critical insights in a consumable format delivered directly to them, while also making it significantly easier for our developers to create and schedule reports in minutes using the familiar QuickSight interface.”

Showpad is a sales enablement platform helping B2B sales teams globally maximize impact. “At Showpad, we embed QuickSight dashboards within our customer facing applications to improve sales and marketing effectiveness. We've also introduced QuickSight Q so users can ask business questions that go beyond existing dashboards. As a fully SaaS based product, we continuously deliver product updates to our customers following DevOps practices,” said Jeroen Minnaert, head of Data at Showpad. “We are excited to use QuickSight’s expanded API capabilities to allow programmatic creation and management of dashboards. This will allow us to treat QuickSight assets as software components and promote our analyses and dashboards automatically from development to staging to production even faster than before. The introduction of forecast and ‘why’ questions in QuickSight Q will help us further enhance customer value by enabling users to uncover key contributors to changes in the metrics that matter and forecast adoption without the need for technical analysts.”

About Amazon Web Services

For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 96 Availability Zones within 30 geographic regions, with announced plans for 15 more Availability Zones and five more AWS Regions in Australia, Canada, Israel, New Zealand, and Thailand. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit  aws.amazon.com .

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit  amazon.com/about  and follow @AmazonNews.

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Introducing new analysis experience on Amazon QuickSight

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML)-powered business intelligence (BI) service built for the cloud. It enables you to create and publish interactive dashboards and highly formatted reports accessible through web browsers or mobile devices. On November 16, 2023 – QuickSight has launched a new analysis experience, enabling a more intuitive and efficient way for you to author dashboards on QuickSight. In this post, we will walk you through the key experiences of this redesign and explore the enhanced workflows that empowers authors to create beautiful dashboards and reports.

With the new experience, we have redesigned the core authoring workflows to be more intuitive, scalable, and efficient. This post outlines the key elements and the core authoring workflows that has been redesigned.

Key experiences

QuickSight offers the following key experiences with this redesign:

The following shows how the core authoring workflows are redesigned to streamline the creation process:

Navigating the the new experience: While most changes we have introduced are designed to be intuitive, we are also introducing the ability for authors to search any analysis action to resolve the challenges of discovering features and workflows. Integrated within the Analysis menu, quick search significantly eases the task of locating any feature within the analysis experience. With search results refined with each keystroke, quick search makes finding specific features effortless. You can navigate to desired features, while boosting productivity in dashboard creation tasks.

Opting out of the beta experience – If you want to return to the previous experience, you can do so until January 31, 2024. To opt out, click New Look in the top right of the toolbar, then select Switch back . You can always revisit this option to switch back to the new look when you’re ready.

Console Embedding Experience

Starting December 20, 2023 – the new experience will also be available for authors and customers using the analysis experience in an embedded mode.

In this post, we showed how the redesigned analysis experience further enables QuickSight to serve as a robust, flexible, and secure BI platform suitable for a wide range of data analytics requirements. The new analysis experience is already available in Amazon QuickSight Standard and Enterprise Editions. For console embedding customers the new experience will be available starting December 20, 2023.

For more information, refer to Amazon QuickSight and the What’s New Feed for QuickSight . If you have any questions or feedback, please leave a comment.

For additional discussions and help getting answers to your questions, check out the QuickSight Community .

About the author

Amazon Quicksight: Overview and Review

The top 5 things to know about Amazon QuickSight:

Amazon QuickSight is an AWS business intelligence tool.

Amazon powers the QuickSight SPICE, a fast, parallel, in-memory calculation engine.

QuickSight allows users without coding knowledge to explore data and extract different insights.

The QuickSight platform integrates with a wide range of data sources (Amazon Redshift, Amazon Athena, local Excel files, and more).

QuickSight can handle multiple business domains while independently measuring business metrics.

Having the right information at your fingertips is the key to making sound business decisions. But your ability to interpret that information — and the speed at which you can access it — is equally essential. That's where Amazon QuickSight comes in.

According to the AWS website , Amazon QuickSight is "a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization." The platform does this with stunning visuals and interactive dashboards that present real-time, machine learning (ML) insights to your company's decision-makers.

The problem is that Amazon QuickSight has a lot of cutting-edge competitors in the BI space, such as Tableau, Microsoft Power BI, and other top BI tools . Therefore, it's important to fully understand what QuickSight has to offer in comparison.

This Amazon QuickSight overview and review will outline everything you need to know about its BI capabilities, from visual presentations to advantages and disadvantages to cost, pricing, and alternatives. In addition, this article will highlight Amazon QuickSight's BI capabilities and how these capabilities can be aided through the use of a data integration platform like Integrate.io. 

Integrate.io is a new ETL platform that possesses Reverse ETL, CDC, and other data integration capabilities that allow companies to better handle their valuable data and easily retrieve it from multiple sources. Read on to learn more about Amazon QuickSight in this Amazon Quicksight overview and review, or simply schedule a call with Integrate.io today!

Table of Contents

What is amazon quicksight, visual presentations , advantages and disadvantages, cost, pricing, and alternatives , is amazon quicksight right for your company.

Let Integrate.io Help With All Your Data Integration Needs 

Let's dive into this Amazon QuickSight overview and review. The first thing to know is that Amazon QuickSight is a business intelligence tool under the umbrella of the Amazon Web Services (AWS) platform. In addition, QuickSight features stunning visualizations, interactive dashboards, and accurate machine learning insights.

Speed is another selling point. Amazon powers the QuickSight platform with its Super-fast, Parallel, In-memory Calculation Engine, or SPICE. According to Amazon :

“SPICE is … designed specifically for fast, ad hoc data visualization. SPICE stores your data in a system architected for high availability, where it is saved until you choose to delete it. You can improve the performance of database data sets by importing the data into SPICE instead of using a direct query to the database.”

Once your BI team sets up the dashboards and visuals in QuickSight, company decision-makers can fine-tune them to display the machine learning analysis and real-time data they're looking for. Moreover, they can access their dashboards from any computer, web browser, or internet-connected iPhone or iPad device.

QuickSight is all about the visuals. Although more expensive BI solutions — like Tableau — have additional visualization options in terms of quantity, the basic visual presentations QuickSight offers are more stunning. That offers a tremendous advantage when meeting with clients and customers.

A typical visual presentation on the QuickSight platform features the following components:

Analyses: QuickSight calls the workspace where you create and interact with visuals an “analysis.” In this analysis, you can arrange and calibrate a number of graphical data presentations, like interactive graphs and charts relating to performance metrics, sales analyses, or cost analyses. You can also include a “story” (see the definition of “stories” in the final section below).

Visuals: A visual is a graphical presentation of data. It could be a chart, table, graph, or diagram. Newly created visuals start in the “AutoGraph” mode. AutoGraph uses an algorithm to automatically choose visual presentations for the data you select. You can then pick your own visualizations from selections like heat maps, treemaps, combination charts, pivot tables, and more. You can also change the colors, apply filters, and reorganize their positions.

Insights : Insights offer valuable interpretations of the data in your “analyses.” QuickSight’s Enterprise Edition will automatically suggest appropriate machine learning insights — and data presentations — after analyzing your data.

Sheets: Sheets are groups of visuals that appear on a single page. While setting up an analysis, you’ll put the selected visuals into the sheet, like the front page of a newspaper. Your analysis can include more than one sheet, each with its respective visualizations working together or separately.

Stories: A story allows you to capture multiple visuals or “scenes” that you present on the sheet, like a slideshow. Users can scroll through the scenes in the story to see different aspects of the analysis. The scenes aren’t static — they update in real-time like all the other graphs, charts, and datasets on the dashboard. 

Together, the above features allow your BI team to create beautiful, interactive data presentations to assist in diverse business areas:

Managers can use them to inform their leadership decisions.

Sales personnel can use them during client presentations.

Marketing teams can use them to track the results of advertising campaigns.

Accountants can use them to monitor key financial metrics. 

After evaluating the QuickSight platform and finding out what real users think, we identified the following advantages of Amazon QuickSight:

Key Advantages of Amazon QuickSight 

Quick Setup and Easy to Use

Your BI team can activate the SPICE engine, integrate data, and start using the QuickSight platform much faster than other BI platforms. According to this user : “It takes less than one hour to set up.”

Another user says: “Easy and intuitive user interface… Less learning curve.”

Highly Compatible with Different Data Sources

Integrating QuickSight with different data sources is easy. The platform integrates with data sources like Amazon Redshift, Amazon Athena, Amazon S3, Amazon Aurora, Apache Spark, Presto, SQL servers, local Excel files, and more. It also supports information from services like Salesforce and Tableau.

As this user states: “You are able to choose your data source. It can be integrated with the popular BI tools and much more.”

This user said: “I loved that it has support for other services such as Salesforce, Tableau, etc., to import data.”

Access Dashboards on Any Web Browser or iOS Device

Most users will access QuickSight dashboards and insights through a web browser . According to QuickSight, “Amazon QuickSight supports the latest versions of Mozilla Firefox, Chrome, Safari, Internet Explorer version 10 and above, and Edge.” iPhone and iPad users can also access and interact with the dashboard via their internet-connected iOS devices.

A Quicksight Dashboard

Stunning Visualizations

Compared to other solutions like Tableau, most users agree that the quality and presentation of QuickSight’s visualizations are superior. In addition, QuickSight’s “AutoGraph” feature applies a set of algorithms to learn about your data. Then it recommends suitable graphics to make sure you’re selecting the best visuals and analytics for the situation.

Get Insights Without Needing to Code

The interactive nature of QuickSight dashboards allows users without coding knowledge to explore data and extract different insights. This empowers everyone to access the vital stats they need.

Cost-Friendly Payment Options

In comparison to older or more-developed BI solutions like Tableau Server and Microsoft Power BI, Amazon Quicksight is a more cost-friendly solution at both the individual level and for enterprises as a whole. 

Here’s what users say about QuickSight pricing:

“We chose them mainly because of the pay per session feature that they have. This allows us to only have to pay for what we actually use. With no upfront costs and no annual fee, these guys are hard to beat.”

“The cost is very low compared to other solutions.”

“The cost can’t be beaten. While the package lacks many of the bells and whistles that are in Tableau or Looker, it has all the basics and gets the job done for 90% of our users.”

Impressive Scalability

QuickSight can handle multiple business domains while independently measuring business metrics. Tens of thousands of users can work on the platform simultaneously with access to all sources of data at the same time. In addition, QuickSight’s cutting-edge data engine technology frees up users to explore gigantic datasets.

Excellent iOS App for Mobile Access

The app for Amazon QuickSight ( for iOS and Android ) delivers on-the-go access to data, so decision-makers can view stories, insights, analyses, and dashboards wherever they are.

Key Disadvantages of Amazon QuickSight 

Amazon QuickSight is not without its disadvantages. After using this platform and finding out what real users think, we identified the following setbacks:

Limited Options for Charts and Graphs

Users complain that the options for charts and graphs — although visually stunning — are limited compared to other flagship BI solutions. This is the most frequently cited disadvantage of QuickSight. As this G2Crowd reviewer states: “Compared to Tableau or other focused solutions, Amazon QuickSight still lacks a lot of customization features. Limited data visualization types (only a few simple and popular charts)…”

One more user says: “It lacks some useful visualization capabilities found in competing tools.”

This user provides more detail:

“There is a severe lack of ability to make custom fields, group bys, and other features that other BI solutions excel at. For example, I wish I could have the functionality to really customize some level of detail expressions as well as more control over the colors and styles of the visualizations. Currently, it is not flexible enough to meet most of my customer’s needs. For example, my customers will not only want high-level looks but also want to drill down and pull out tables of data which seems like it is implemented but is not robust enough.”

In response to these criticisms, it’s important to note that Amazon is still developing QuickSight — and the platform will continue to evolve with new features over time. As of May 2022, Amazon QuickSight has achieved a 4 out of 5-star rating from 157 user reviews on G2. 

Still New to the BI Scene

QuickSight is new to the BI scene and requires further development to reach parity with popular BI solutions like Tableau and Microsoft Power BI. That’s a fact. Nevertheless, the pay-per-session pricing makes QuickSight one of the most cost-effective BI solutions available. However, larger enterprises may choose to go with one of the more established BI solutions as they tend to have better administrative features.

Amazon QuickSight: Cost and Pricing 

When it comes to BI tools, Amazon QuickSight is a cost-effective solution at both the standard and enterprise levels. In addition, Amazon QuickSight has two pricing structures at the enterprise level, which include both readers and authors. 

Amazon QuickSight Standard Edition Pricing (Authors)

At the standard edition level, authors can create and publish interactive dashboards for just $9 per month with an annual subscription that requires a one-time yearly payment of $108. 

If authors would rather choose a month-to-month plan with the opportunity to cancel at any time, they will have to pay $12 per month. 

Both of these payment options come with 10 GB of SPICE per author. 

Authors can pay $0.25 per GB for additional capacity if more SPICE capacity is needed. 

Amazon QuickSight Enterprise Level Pricing (Authors and Readers)

Authors can create and share dashboards with other users in the account for $18 per month with an annual subscription that will require a one-time payment of $216. 

Authors can also choose a month-to-month plan for $24 per month with the ability to cancel at any time. 

Authors with Q can explore their data simply by asking questions, setting verified answers, and fine-tuning Q to better align with business domains for $28 per month with an annual subscription that will require a one-time payment of $336. 

Authors with Q can also choose a month-to-month plan for $34 per month with the ability to cancel at any time. 

Readers with the user pricing can explore interactive dashboards, receive email reports, and download data for $0.30 per session up to $5 max per month.

Readers with the capacity pricing can purchase reader sessions or Q sessions in bulk without having to provision individual readers. 

Plans are based on capacity, with the lowest monthly capacity plan being 500 sessions per month for $250 per month. 

The lowest annual capacity plan is 50,000 sessions per year for $20,000 annually. 

More pricing options can be found on AWS.Amazon .

Readers with Q with the user pricing can explore topics shared with them by simply asking questions for $0.30 per session up to $10 max per month.

In addition, accounts enabled with Q are charged $250 per month for a Q base fee. 

There are two options for authors at the enterprise level, which include Authors and Authors Q. 

Authors with Q

Additionally, there are two options for readers at the enterprise level, which include Readers and Readers with Q. Plus, there is a user pricing plan and a capacity pricing plan. 

Readers with Q

Alternatives to Amazon QuickSight 

While Amazon QuickSight offers its users access to some top-tier BI tools, they face some steep competition in the business intelligence space. Let’s compare some of Amazon QuickSight’s top competitors. 

Tableau Server 

As of May 2022, Tableau Server has achieved a 4.2-star rating out of 5 stars on G2 from 424 users. In comparison, Amazon QuickSight has received 4 out of 5 stars from 157 users.

Reviewers of the two platforms noted that Tableau Server is easier to administer, but Amazon QuickSight is easier to use and set up. 

Tableau Creator is available for $70 per month, which is billed as $840 annually. In comparison, enterprise users can get started on Amazon QuickSight for just $18 per month, which is billed as $216 annually. 

Related Reading: The Best Tools for Visualizing E-Commerce Data

Microsoft Power BI

Power BI Pro provides individual users with self-service analytics for $9.99 per month. 

Power BI Premium provides individual users with advanced self-service analytics and data management for $20 per month. 

Power BI Premium per capacity is available for organizations starting at $4,995 per capacity per month. 

As of May 2022, Microsoft Power BI has achieved a 4.4-star rating out of 5 stars on G2 from 792 reviews. 

Reviewers noted that both Microsoft Power BI and Amazon QuickSight were easy to use and set up. However, the average reviewer preferred the administration ease offered by Microsoft Power BI.  

Microsoft Power BI has a variety of pricing options .

Related Reading: How to Prepare Data for Microsoft Power BI

Amazon QuickSight customers praise the platform’s speed, ease of use, and sound data analytics. They laud the visual appearance of its interactive dashboards. And they appreciate saving money with its pay-per-session pricing. Moreover, you’ll be in good company if you decide to be a QuickSight customer. Their client list includes prestigious names like:

The National Football League (NFL)

Best Western

MLB Advanced Media

Ultimately, QuickSight is a quality BI solution without complexity. Choosing this cost-friendly business intelligence platform from Amazon means that you will be in good hands.

Related Reading: How to Build a Business Intelligence Strategy

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Tags: analytics,

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Maximizing Efficiency: Streamlining Your Business with Advanced SFDC Strategies

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Amazon Q in Amazon Quicksight- Generative BI capabilities for Dashboard authoring, Executive summary & Data stories

Exploring amazon quicksights re-invent launches, generative bi features in amazon quicksight, 1) building visuals in seconds using visual authoring experience.

2) Refine visuals using natural language

3) Build calculated fields using natural language

4) Executive summary based on your dashboard & underlying data

5) Data stories to build data insights to create presentations or share with stakeholders

Important: We've redesigned the Amazon QuickSight analysis workspace. You might encounter screenshots or procedural text that doesn't reflect the new look in the QuickSight console. We're in the process of updating screenshots and procedural text.

To find a feature or item, use the Quick search bar .

For more information on QuickSight's new look, see Introducing new analysis experience on Amazon QuickSight .

Using the Amazon QuickSight developer portal

The QuickSight dev portal helps you learn by example how to use the QuickSight API in your web site or application. In this initial offering, the dev portal focuses on API operations for embedded analytics.

The dev portal provides easy-to-use code samples to get you started. You can choose from the following three different use cases:

Displaying embedded dashboards to everyone (non-authenticated users)

Personalizing dashboards for your users

Embedding dashboard authoring

The portal itself displays dashboards by using embedding for everyone.

To get started with the dev portal

Open QuickSight dev portal and choose Try it on the use case you want to view.

To view code examples, choose How to embed it in the menu bar. Then choose each of the folloinwing from the navigation pane at left:

Configure permissions

Get embedding URL (code samples in Java, JavaScript, and Python)

Embed URL in your application

To download all of the code in a zip file, choose Download all code .

To customize the dashboard, choose How to customize it . This screen is interactive, so you can choose any item in the navigation pane to view the changes live.

You can also view and download the html code at bottom left.

To return to the start page, click on the QuickSight icon, top left.

To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions.

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