Oracle Analytics Cloud vs Qlik Sense comparison

Why PeerSpot?

Oracle and Qlik are both solutions in the Data Visualization category. Oracle is ranked #15 with an average rating of 8.0, while Qlik is ranked #6 with an average rating of 7.8. Oracle holds a 2.1% mindshare in DV, compared to Qlik’s 4.8% mindshare. Additionally, 77% of Oracle users are willing to recommend the solution, compared to 96% of Qlik users who would recommend it.

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

7,424 Views
3,044 Comparison Views

77% willing to recommend

Qlik Sense

Read 126 Qlik Sense reviews

14,606 Views
8,325 Comparison Views

96% willing to recommend

Oracle Analytics Cloud

Qlik Sense

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Qlik Sense and Oracle Analytics Cloud compete in the business intelligence and data analysis category. Qlik Sense has an edge in user-friendly data visualization, while Oracle Analytics Cloud excels in integrating with Oracle products for comprehensive analytics.

Features: Qlik Sense is known for its associative model that enables dynamic data exploration. It allows users to manipulate data with drag-and-drop functionality and efficiently manages large datasets. Oracle Analytics Cloud shines with its deep integration into Oracle's ecosystem, offering advanced analytics and ease of use for Oracle environments. It provides robust predictive analytics and integration capabilities that cater to enterprise solutions.

Room for Improvement: Qlik Sense users suggest improvements in statistical functions, customization options for visualizations, and better integration tools. Users desire more features from QlikView. Oracle Analytics Cloud feedback includes the need for enhanced user interaction, cost-effectiveness, and further development in machine learning capabilities.

Ease of Deployment and Customer Service: Qlik Sense provides versatile deployment options, supporting on-premises and private cloud setups, backed by a strong community, though some users mention technical support responsiveness could improve. Oracle Analytics Cloud is noted for its excellent global support and hybrid deployment, with users praising its customer service and superior technical assistance.

Pricing and ROI: Qlik Sense is perceived as expensive, with complex licensing, but delivers substantial ROI through quick deployment and insights. Oracle Analytics Cloud offers competitive pricing, although costs can rise with increased usage, yet ROI is favorable due to its rich enterprise features aligning with business needs.

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

Buyer's Guide

Oracle Analytics Cloud vs. Qlik Sense

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

Oracle Analytics Cloud

Ranking in Data Visualization

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (18th)

Qlik Sense

Ranking in Data Visualization

6th

Average Rating

8.6

Reviews Sentiment

6.2

Number of Reviews

126

Ranking in other categories

Embedded BI (4th), AI Data Analysis (17th)

Mindshare comparison

As of November 2026, in the Data Visualization category, the mindshare of Oracle Analytics Cloud is 2.1%, down from 3.2% compared to the previous year. The mindshare of Qlik Sense is 4.8%, down from 7.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Qlik Sense	4.8%
Oracle Analytics Cloud	2.1%
Other	93.1%

Data Visualization

Featured Reviews

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

Saranya Deepthi

Project Engineer at Wipro

Improved AI-driven dashboards have accelerated decisions but still need better visuals and faster refresh

Absolutely, nothing is entirely positive, and everything has both advantages and disadvantages. When I worked with Qlik Sense, circular charts were not available, which meant I had to look for alternative solutions that would be reliable or make the functionality work. There are some features that need to be added. Additionally, there is a limit to the number of fields that can be added in Qlik Sense, and I believe it would be beneficial if they increased the count for fields and columns. There might be requirements where an Excel file contains many columns that need to be displayed as visual representations to clients, and in those situations, it becomes very difficult and I have to use alternative approaches. When this problem arose, I used HTML code to write a solution and make it work. Qlik Sense should avoid these types of limitations in future updates. Another issue is page resolution. If a client wants to view the dashboard on a single page without scrolling, bar charts appear small and the values in KPIs, bar charts, scatter plots, and line graphs cannot be seen very clearly. Adding more extensions to make the job easier would also be beneficial. Improvements to reporting would be helpful as well, because working with large datasets makes reporting very difficult. Additionally, when data is refreshed, it cannot be completed in a short timeframe. Refreshing very large datasets can take one, two, or even three hours, so reducing the refresh time would be very useful for customers.

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

"The solution is user-friendly."

"Technical support is very fast and accurate."

"It has the best feature for data augmentation."

"The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."

"This solution is not that well known by clients but is a great product to use."

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

"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."

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

More Oracle Analytics Cloud pros

"We have discovered it is possible to have a data-driven organization as almost all decisions are based on data from this platform."

"Qlik offers you all the features needed to extract the raw data from the source systems including an ETL layer to transform the data and to connect the multiple data sources into one data model, easy data sharing, security and scaling features, dashboards, and report functionality to share your data with your end-users."

"On the fly questions can be answered with the "Qlik" of a button and drive forward discussions about policy, mission, and goals."

"It's an easy-to-use, fun visualization tool; probably best suited for prototyping."

"Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the UI point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that."

"The self-service capabilities that Qlik Sense offers are significant."

"Faster information delivery and enhanced decision making are examples of how it has improved the way my organization functions."

"It allows you to create a new column using split on a current column, which we find very useful."

More Qlik Sense pros

Cons

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

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

"The price of the solution could be lower."

"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."

"It is expensive."

"When you want to scale up and improve the computing power, it becomes extremely costly."

"As with most BI tools, the visualizations can be made much nicer."

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

More Oracle Analytics Cloud cons

"The scripts available in the solution are not great and could be improved."

"There is a direction currently with feature releases within QLik Sense which are focused towards the SaaS or Cloud offerings of Qlik Sense. This leaves those who have invested heavily in on-premise enterprise deployments in a difficult position to gain the benefits of some powerful new features they have to look to reinvest further towards these SaaS or Cloud deployments or bring in a hybrid model. Qlik provides no real split between what features are available in each of the deployment options."

"Error handling is an area that needs to be improved."

"However, the training is not free. When you want to learn more about the tool, sometimes you need to pay for the training."

"There are occasional stability problems, but Qlik support is excellent at correcting anything that arises."

"Reload time is a limit since everyone wants real-time data."

"Qlik's data handling could still use some strengthening, flexibility, and overall improvement."

"More options for the layout."

More Qlik Sense cons

Pricing and Cost Advice

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

"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."

"A highly cost-effective solution"

"It is an expensive platform."

"The tool's pricing is not unreasonable or non-competitive."

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

"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."

More Oracle Analytics Cloud pricing and cost advice

"The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."

"The solution is worth it."

"The costs can initially become quite high. Make sure you have a clear understanding of who will truly use the product as opposed to someone that will simply receive the end report."

"You will spend more time on educating your staff than licensing the product."

"The product is expensive compared to one of its competitors."

"Qlik Sense pricing and licensing is like that of QlikView. It's on the high side for a small company, but it’s competitive among its peers. Use of licenses (referred to as tokens) is a bit confusing. There is a login access pass for infrequent or anonymous access."

"Start small with tokens. You can always buy more."

"Licensing: Review the named model and move towards a usage model (e.g., cores, memory, computers, API calls, etc.)."

More Qlik Sense pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

Manufacturing Company

Government

Construction Company

Financial Services Firm

17%

Manufacturing Company

11%

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	34
Midsize Enterprise	40
Large Enterprise	89

Questions from the Community

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...

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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

Seeking lightweight open source BI software

It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...

See all answers

Seeking lightweight open source BI software

There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...

See all answers

What is your experience regarding pricing and costs for Qlik Sense?

It is not about performance. It is just about how expensive it is to implement.

See all answers

Comparisons

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

Oracle Business Intelligence Cloud Service vs Oracle Analytics Cloud

Compared 3% of the time

More Oracle Analytics Cloud Competitors

Tableau Enterprise vs Qlik Sense

Compared 7% of the time

OpenText Intelligence vs Qlik Sense

Compared 4% of the time

Apache Superset vs Qlik Sense

Compared 4% of the time

Microsoft Power BI vs Qlik Sense

Compared 4% of the time

Workday Adaptive Planning vs Qlik Sense

Compared 2% of the time

More Qlik Sense Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

October 2026

Download Oracle Analytics Cloud product report

Buyer's Guide

Qlik Sense

October 2026

Download Qlik Sense product report

Also Known As

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

QlikSense, Qlik Analytics Platform

Overview

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

Qlik Sense offers drag-and-drop dashboard creation, multi-data source integration, and self-service analytics. Users benefit from associative data modeling and real-time insights. The platform enhances quick deployment across any device with its flexibility and ease of use.

Qlik Sense provides rapid dashboard creation and seamless multi-data source integration, supporting real-time analytics and high-speed ETL capabilities. Users enjoy advanced visualizations and natural language processing within an intuitive interface. The solution's in-memory engine ensures fast data processing while offering flexibility and quick deployment on all devices. Its open API facilitates extensive customization and integration with chatbots and third-party extensions.

What are the key features of Qlik Sense?

Rapid Dashboard Creation: Enables quick creation of insightful dashboards using a drag-and-drop interface.
Multi-Data Source Integration: Supports seamless integration across various data sources for comprehensive analysis.
Self-Service Analytics: Empowers users with intuitive tools for independent data exploration and insights generation.
Associative Data Modeling: Enhances understanding of complex datasets and relationships.
Advanced Visualizations: Offers sophisticated visual options to present data clearly and engagingly.
Real-Time Insights: Provides up-to-the-minute data analysis capabilities.
Open API Integration: Allows extensive customization and integration with third-party tools.

What benefits should users look for in reviews?

Fast Deployment: Enjoys rapid setup and integration across devices, facilitating immediate data access.
Enhanced Flexibility: Customization options allow tailored solutions that meet specific user needs.
Comprehensive Integration: Capable of integrating multiple data sources, improving analytical scope.
Improved Data Accessibility: Offers easy access and understanding of complex data.
Automation Efficiency: Streamlines reporting and analytics tasks, boosting productivity.

In industries such as finance and sales, Qlik Sense enables interactive data analyses and dashboard creation across departments. It supports business intelligence for financial reporting, sales analysis, and decision-making. By automating reporting and combining data from multiple sources, it facilitates users in generating insights and enhancing data accessibility for informed business decisions.

Qlik

Sample Customers

Sejong Hospital

Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo

Buyer's Guide

Oracle Analytics Cloud vs. Qlik Sense

November 2026

Free Report: Oracle Analytics Cloud vs. Qlik Sense

Find out what your peers are saying about Oracle Analytics Cloud vs. Qlik Sense and other solutions. Updated: November 2026.

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