Amazon QuickSight vs Oracle Analytics Cloud comparison

Amazon Web Services (AWS) and Oracle are both solutions in the BI (Business Intelligence) Tools category. Amazon Web Services (AWS) is ranked #4 with an average rating of 8.3, while Oracle is ranked #14 with an average rating of 8.0. Amazon Web Services (AWS) holds a 3.3% mindshare in BIT, compared to Oracle’s 1.4% 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

7,693 Views
5,924 Comparison Views

68% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

4,728 Views
3,215 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: April 2026).

Buyer's Guide

Amazon QuickSight vs. Oracle Analytics Cloud

April 2026

Download the complete report

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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

4th

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

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (11th)

Mindshare comparison

As of May 2026, in the BI (Business Intelligence) Tools category, the mindshare of Amazon QuickSight is 3.3%, down from 6.7% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.4%, down from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Amazon QuickSight	3.3%
Oracle Analytics Cloud	1.4%
Other	95.3%

BI (Business Intelligence) Tools

Featured Reviews

Samuel Ndip Takou

IT Infrastructure Support Specialist at Olam Agri

Can always access reports through intuitive dashboards that support diverse data connections

I can't specifically say how Amazon QuickSight could be improved since I focus more on using it and leveraging its functionalities. However, I could invest additional time to explore possible feedback from customers regarding their challenges. As cloud engineers, our capacity to improve is limited since AWS manages the services, but I would be open to feedback. I'm aware there are minor details that AWS could enhance, such as optimizing costs for beginners or small startups, which can be steep when trying to take Amazon QuickSight into production. Many have noticed that AWS services greatly benefit well-established companies, while startups struggle with costs as they transition data out of AWS. Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.

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

"What I do like about QuickSight is that it gives a relative beginner the ability to really start seeing results quickly."

"The integration is very seamless. We stored our result CSV files in S3 and connected directly from there."

"The graph charts, pie charts, and box plots are valuable."

"There is no REVIEW content provided to evaluate."

"It has a lot of valuable features, but the most important aspect is the affordable cost. This solution costs much less in comparison to the competitors like Qlik Sense, Power BI, and Tableau."

"Interactive dashboards do help with data analysis."

"Whatever I pay for Amazon QuickSight, I get back, so I am not worried about ROI."

"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."

More Amazon QuickSight pros

"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."

"The technical support services are good."

"It has the best feature for data augmentation."

"Using this tool, we were able to forget about using Excel and keep using it as the only source of data."

"The ability to quickly search for and access relevant data is crucial."

"I have found that the scalability quality of Oracle Analytics Cloud works extremely well."

"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."

"The stability of the product itself by virtue of the fact that it's a cloud product and Oracle is responsible for its hosting is valuable."

More Oracle Analytics Cloud pros

Cons

"There is room for improvement in terms of the number of visualizations and dashboards that are available."

"They could provide more options for graphics and other features."

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

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

"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."

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

"It's not ideal for reports that are more complex."

"An area for improvement in Amazon QuickSight is storage. Data cleanup also needs improvement because I'm experiencing errors when cleaning the data. Amazon QuickSight needs video tutorials showing its different functions and purposes."

More Amazon QuickSight cons

"One of the major issues is that Oracle Analytics Cloud is not user-friendly, requiring skilled people with proper certifications to work with it successfully."

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

"The implementation of generative AI and machine learning should improve"

"The scalability has room for improvement."

"They could improve the ease of developing the dashboard and interacting with it."

"The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."

"The solution could be more flexible."

"The product could benefit from increased flexibility compared to other vendors."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

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

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

"The solution is not affordable."

"The product pricing is better than other vendors."

"The solution's pricing is cheaper than the other products in the market."

"It is simpler and cheaper than other solutions."

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

"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."

More Amazon QuickSight pricing and cost advice

"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."

"It is an expensive platform."

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

"A highly cost-effective solution"

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

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

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

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

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

11%

Computer Software Company

University

Financial Services Firm

10%

Government

10%

Manufacturing Company

University

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?

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 majo...

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 53% of the time

Tableau Enterprise vs Amazon QuickSight

Compared 7% of the time

Looker Studio vs Amazon QuickSight

Compared 4% of the time

QlikView vs Amazon QuickSight

Compared 3% of the time

ThoughtSpot vs Amazon QuickSight

Compared 1% of the time

More Amazon QuickSight Competitors

Oracle OBIEE vs Oracle Analytics Cloud

Compared 8% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 7% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 7% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 6% of the time

Oracle Business Intelligence Cloud Service vs Oracle Analytics Cloud

Compared 3% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Amazon QuickSight

May 2026

Download Amazon QuickSight product report

Buyer's Guide

Oracle Analytics Cloud

May 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

April 2026

Free Report: Amazon QuickSight vs. Oracle Analytics Cloud

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