Amazon QuickSight vs Oracle Analytics Cloud comparison

Why PeerSpot?

Amazon Web Services (AWS) and Oracle are both solutions in the BI (Business Intelligence) Tools category. Amazon Web Services (AWS) is ranked #8 with an average rating of 8.1, while Oracle is ranked #18 with an average rating of 8.0. Amazon Web Services (AWS) holds a 2.9% mindshare in BIT, compared to Oracle’s 1.5% mindshare. Additionally, 68% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 77% of Oracle users who would recommend it.

Amazon QuickSight

Read 34 Amazon QuickSight reviews

10,475 Views
8,694 Comparison Views

68% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

7,424 Views
5,197 Comparison Views

77% willing to recommend

Amazon QuickSight

Oracle Analytics Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Amazon QuickSight and Oracle Analytics Cloud are competitors in the business intelligence and analytics space. Amazon QuickSight appears to have the upper hand for AWS-integrated companies due to its cost-effectiveness and ease of use.

Features: Amazon QuickSight integrates seamlessly with AWS services and offers machine learning capabilities. It provides fast, self-service analytics and unique features like Amazon Q for natural language queries. SPICE enhances performance with large datasets. Oracle Analytics Cloud excels in robust data visualization, dashboarding, and machine learning. It offers strong data security, enterprise reporting, and is ideal for large enterprises needing detailed insights.

Room for Improvement: Amazon QuickSight needs more advanced visualization options, better data integration tools, and improved machine learning support. Enhanced data refresh options and cost competitiveness could be beneficial. Oracle Analytics Cloud should improve its visualization, metadata management, and AI/machine learning integration. The user interface could be more intuitive, with simplified data connectivity and more flexible dashboarding features.

Ease of Deployment and Customer Service: Amazon QuickSight's public cloud deployment makes it easily accessible and manageable for AWS users. It has decent documentation, though customer support can vary. Oracle Analytics Cloud is deployable on public, hybrid, and on-premises models, offering flexibility but with potentially longer setup times and a steeper learning curve. Customer support is generally fast and supportive, though some inconsistencies are noted.

Pricing and ROI: Amazon QuickSight provides competitive pricing with a pay-as-you-go model, particularly beneficial for AWS users, offering a higher ROI due to lower costs despite additional storage and compute charges. Oracle Analytics Cloud is more expensive, comparable to Tableau and Power BI, but its feature set meets enterprise needs. While offering good ROI, its flexibility and comprehensive analysis justify the price for larger organizations.

To learn more, read our detailed Amazon QuickSight vs. Oracle Analytics Cloud Report (Updated: November 2026).

Buyer's Guide

Amazon QuickSight vs. Oracle Analytics Cloud

November 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon QuickSight

Ranking in BI (Business Intelligence) Tools

8th

Average Rating

7.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Analytics Cloud

Ranking in BI (Business Intelligence) Tools

18th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (15th)

Mindshare comparison

As of November 2026, in the BI (Business Intelligence) Tools category, the mindshare of Amazon QuickSight is 2.9%, down from 4.4% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.5%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Amazon QuickSight	2.9%
Oracle Analytics Cloud	1.5%
Other	95.6%

BI (Business Intelligence) Tools

Featured Reviews

Nandakumar-Thiruthath

General Manager Information Systems at a manufacturing company with 10,001+ employees

Interactive dashboards have supported cloud analytics and now drive deeper data exploration

I don't want to hypothetically say about the effectiveness of Amazon QuickSight in terms of machine learning, so I need to pass on that. At the moment, on the cloud perspective, we have Amazon major, but we do have hybrid models. On the analytics side, we are migrating into Amazon QuickSight. One of the products is already migrating, and the rest is in the pipeline. As of now, we haven't picked it up. I don't want to say very positive at the moment about the pricing of Amazon QuickSight because my initial understanding is that it's not an easy one to adapt, but the choices are there. The reason I'm saying this is that there are two different models. Since we are partnered with Amazon and many of the other products and services we are engaging, we have an overall agreement involving this type of product. That way we are getting a benefit on that rather than an individual product. I have to pass on how much time my team spent on the deployment of Amazon QuickSight because I'm not very sure. I haven't been involved in the deployment and rollout.

Read full review

DavidMalizia

Head Of Data And Ai at a tech services company with 11-50 employees

Data projects have grown rapidly and support complex analytics and quick dashboard delivery

Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure over another, which is a straightforward question you might ask, it appears simple to do, but the result is not what you expect. I would make it more user-friendly in terms of creating new measures. The measure creation feature could be improved. In terms of functionality, there are not many functions that are completely missing. There is one aspect that if you compare it with Power BI from Microsoft, which works completely in memory and therefore puts everything in memory to allow many calculations on the fly on what is in memory, that is missing, but it is architecturally different and would not be possible to ask for something like that. Some time features and time series analysis functions could be improved. Calculating a year ago and previous period functions could definitely work with some improvement.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Regarding the pricing model of Amazon QuickSight, I would say the solution is affordable in general in comparison to some of the other tools, for example, Tableau and Qlik."

"Amazon QuickSight has introduced a new functionality called Q bar, which allows the user to do natural language queries and get additional insights using some built-in generative capabilities."

"Amazon QuickSight is a data visualization tool that is a major component in business intelligence to extract insights from the data warehouse, enabling senior managers to have a clear vision about the data, clients, and organization to make major business decisions or strategic decisions about improving the business."

"I like that with Amazon QuickSight, you don't need to install an app to use its services. With other BI tools, you need to install the app, so Amazon QuickSight is better for me in this area."

"QuickSight makes it easy to provision, create, and publish dashboards."

"The most valuable feature I have found is the low-level securities are very easy to use."

"The solution provides a good business intelligence service."

"The solution is simple to implement."

More Amazon QuickSight pros

"It's great for consolidation and creating one source of truth."

"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

"Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks."

"The product is easily customized."

"A valuable feature is the speed of the solution."

"It's rather user-friendly."

"Technical support is very fast and accurate."

"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."

More Oracle Analytics Cloud pros

Cons

"It can be made more user-friendly as some users might find this solution hard to implement. Qlik Sense, for example, is very user-friendly."

"QuickSight needs to add more visuals similar to what Power BI offers."

"Amazon QuickSight has minimal features. The feature set can be improved to allow you to create good production-ready dashboards. This does not happen with QuickSite, it needs to mature to be used in production."

"Pricing could be improved."

"You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire."

"I would like to see a feature that allows us to save a draft version before making it public and publishing it."

"One area is that integrating data from different sources into QuickSight can be a bit tricky, especially with Amazon Connect. To get data flowing, you need to use two additional services and configure them correctly."

"QuickSight is gradually adding new features, but it is not as mature as some of the other products on the market such as Tableau or Power BI."

More Amazon QuickSight cons

"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."

"It is expensive."

"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."

"Enterprise customers shy away from purchasing Oracle Analytics Cloud and prefer competing solutions from Tableau and Microsoft."

"Its FAW feature has limitations in terms of usage."

"The solution could be more flexible."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"The solution is not affordable."

"A highly affordable cost structure with fixed membership and timeframe basis options."

"I'm using a paid version of Amazon QuickSight, paying about $22 monthly. As I have yet to learn about the pricing for other tools, such as Power BI, I won't be able to compare."

"It's affordable compared to other long-term contractor business tools available in the market."

"The standard edition is free to use for exploration purposes while the enterprise edition needs to be paid for. The pricing for this solution is very reasonable."

"The product pricing is better than other vendors."

"The pricing is cost-effective with a good plan."

"Amazon QuickSight you subscribe and you use the service."

More Amazon QuickSight pricing and cost advice

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"It is an expensive platform."

"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."

"We pay on a monthly basis and it is $10 per user each month."

"I would rate it a five out of five in terms of the value received for the price charge."

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

13%

Financial Services Firm

12%

Comms Service Provider

Outsourcing Company

Financial Services Firm

Manufacturing Company

Government

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	10
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	7
Large Enterprise	11

Questions from the Community

What is your experience regarding pricing and costs for Amazon QuickSight?

Amazon QuickSight charges $250 per user, which becomes expensive when managing multiple departments. However, this cost is offset by the advantages it provides.

See all answers

What needs improvement with Amazon QuickSight?

See all answers

What is your primary use case for Amazon QuickSight?

We do partner with Amazon, and we use Amazon QuickSight for some of the projects. We have a global environment and some of the products in the US-based solutions where our teams are using it. I dow...

See all answers

Which Oracle product is better - OBIEE or Analytics Cloud?

Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...

See all answers

What is your experience regarding pricing and costs for Oracle Analytics Cloud?

Pricing for Oracle Analytics Cloud works with how much you want it to cost. We have clients who have bought large amounts of Oracle and the price per product has gone down massively because they bo...

See all answers

What needs improvement with Oracle Analytics Cloud?

See all answers

Comparisons

Microsoft Power BI vs Amazon QuickSight

Compared 50% of the time

Tableau Enterprise vs Amazon QuickSight

Compared 6% of the time

Looker Studio vs Amazon QuickSight

Compared 3% of the time

Qlik Sense vs Amazon QuickSight

Compared 3% of the time

ThoughtSpot vs Amazon QuickSight

Compared 2% of the time

More Amazon QuickSight Competitors

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 7% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 5% of the time

iDashboards vs Oracle Analytics Cloud

Compared 3% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Amazon QuickSight

November 2026

Download Amazon QuickSight product report

Buyer's Guide

Oracle Analytics Cloud

October 2026

Download Oracle Analytics Cloud product report

Also Known As

QuickSight

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

Overview

Amazon QuickSight offers rapid visualization creation, cloud-native AWS integration, ease of use, scalability, and affordability. With strong data connectors and machine learning tools, it supports real-time insights and intuitive data handling.

Amazon QuickSight is designed for fast visualizations, interactive dashboards, and extensive data connectivity, making it suitable for finance and academia. Offering browser-based access and advanced security, it enables organizations to integrate data seamlessly, handling both real-time and historical insights. Despite room for improvement in visuals and integration with other cloud providers, its flexibility and powerful analytics serve diverse reporting needs efficiently.

What are Amazon QuickSight's most important features?

Fast Visualization: Rapid creation of detailed visual reports.
Cloud-Native Integration: Seamless connection with AWS infrastructure.
Scalability: Easily scales according to data and user needs.
Advanced Security: Ensures data protection and compliance.
Machine Learning Tools: Offers predictive analytics and AI capabilities.
Interactive Dashboards: Allows real-time data exploration and interaction.
Extensive Documentation: Provides robust resources for user support.

What benefits and ROI should users look for?

Ease of Use: Simplifies data visualization and reporting tasks.
Cost-Effectiveness: Affordable pricing suitable for scaling businesses.
Real-Time Insights: Access to immediate data-driven decisions.
Intuitive Design: Enhances user interaction and data manipulation.
Comprehensive Integration: Data integration from multiple sources like S3, SAP, MySQL.

Amazon QuickSight is employed in finance and academia, aiding in KPI tracking and analytics through efficient data integration and visualization. It supports strategic business decisions by offering insights from sources such as S3 and MySQL, making it valuable for financial reporting and research needs.

Amazon Web Services (AWS)

Oracle Analytics Cloud offers enterprise-grade dashboarding, visualization, and data integration with machine learning and NLP capabilities. Its cloud infrastructure supports data preparation, predictive analysis, and business analytics, enhancing decision-making for global users.

Oracle Analytics Cloud excels in providing a comprehensive platform for financial, procurement, and HR analytics. It integrates seamlessly with systems like ERP and Primavera, allowing users to develop dashboards for financial status, personal data management, and predictive sales analysis. Known for its ease of use and capacity to handle large data volumes, it supports enterprise-level transactions across financials and logistics, offering stakeholders valuable insights. However, improvements are needed in visualization variety, cost efficiency, and performance speed. Certain areas such as connectors, data modeling features, flexibility, and support resources require enhancement.

What are the most significant features of Oracle Analytics Cloud?

Enterprise-Grade Dashboarding: Offers robust visualization and reporting capabilities.
Data Visualization: Provides intuitive visual tools for data analysis.
Data Integration: Seamlessly connects with ERP, Primavera, and other systems.
Machine Learning: Incorporates ML for smarter analytics and predictions.
Natural Language Processing: Simplifies search and data queries with NLP.
Automatic Dashboards: Generates dashboards through the Explain function.

What are the key benefits and ROI of choosing Oracle Analytics Cloud?

Ease of Use: User-friendly interface simplifies data analysis for teams.
Scalability: Handles large data volumes and grows with business needs.
Fast Performance: Quickly processes and analyzes data to aid decision-making.
Secure Business Analytics: Offers secure data preparation and analysis.

In industries like finance, procurement, and HR analytics, Oracle Analytics Cloud supports decision-making by integrating with existing systems such as ERP and Primavera. Users create dashboards for assessing financial status and predicting sales, aiding business intelligence and enterprise transactions, especially in financials and logistics.

Oracle

Sample Customers

MLB Advanced Media, Infor, HotelBeds, Gemini, Jivochat, Edmunds.com

Sejong Hospital

Buyer's Guide

Amazon QuickSight vs. Oracle Analytics Cloud

November 2026

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