Overview: Qlikview and Oracle Analytics Cloud as Business Intelligence Category solutions.

Qlikview and Oracle Analytics Cloud are both prominent players in Business Intelligence, each offering unique strengths tailored to different operational and strategic needs. Qlikview excels in comprehensive data analysis, particularly for IT and financial sectors, while Oracle Analytics Cloud shines with advanced forecasting and integration features, appealing to industries like apparel and real estate. Businesses must consider their specific needs regarding data handling, reporting, and industry alignment to choose the most suitable solution.

Qlikview: QlikView has been replaced with Qlik Cloud Analytics for a cloud-based SaaS deployment. Qlik Sense serves as the on-premises solution.

Oracle Analytics Cloud: Oracle Analytics Cloud offers a unified platform with comprehensive features like self-service visualization, enterprise reporting, and advanced analytics. Embedded machine learning delivers proactive insights and intelligent automation.

Qlikview and Oracle Analytics Cloud: Best activities based on customer satisfaction

Activities: Qlikview vs Oracle Analytics Cloud

Discover and compare top business activities, Q&A, and peer reviews for Qlikview vs Oracle Analytics Cloud to help find the right fit for your needs.

Qlikview Oracle Analytics Cloud

social media analytics
social media management
competitive intelligence
communication management
sending & publishing communications
funnel analysis
lead analytics

Qlikview

4.2

AI Powered

Oracle Analytics Cloud

4.0

AI Powered

Key Capabilities Supported

Qlikview facilitates key processes like social media analytics and competitive intelligence. These capabilities align with the need for deep insights in communication and customer feedback sectors. read more →

Oracle Analytics Cloud supports social media management and forecasting. This is great for businesses focusing on lead analytics and customer relationship enhancements. read more →

Business Goals

Qlikview aims to improve ROI and increase sales and revenue. It fits businesses focused on scaling best practices and enhancing efficiency. read more →

Oracle Analytics Cloud helps in scaling best practices and acquiring customers. It aligns with goals to enhance customer relationships and improve visibility. read more →

Core Features

Qlikview offers standout features like custom reports and data export. Its integration and AI-powered analytics meet diverse operational needs across industries. read more →

Oracle Analytics Cloud features advanced AI and integration capabilities. Its custom reports and strong security measures cater to detailed analysis and privacy needs. read more →

Vendor Support

Qlikview provides robust 24/7 support, with a focus on chat and phone channels. This support structure suits businesses needing reliable and continuous assistance. read more →

Oracle Analytics Cloud offers comprehensive 24/7 support mainly through mobile and offline channels. It's tailored for users who prefer varied communication modes. read more →

Segments and Industries

Qlikview is predominantly used by IT and financial services industries. It serves a large number of small to enterprise-scale customers. read more →

Oracle Analytics Cloud is popular in apparel, sports, and real estate sectors. It is favored by mid-market and smaller enterprises. read more →

Operational Alignment

Qlikview integrates well with complex IT workflows, supporting both small and large enterprises. Its features cater to operational scalability. read more →

Oracle Analytics Cloud suits varied environments with a strong foothold in on-premises operations. It's designed for industries with specific forecasting needs. read more →

Applying your context and needs changes the comparison

Most deployed common Use Cases for Qlikview and Oracle Analytics Cloud

How does Qlikview and Oracle Analytics Cloud facilitate Competitive Intelligence?

Qlikview and Oracle Analytics Cloud are both Business Intelligence tools used for creating dashboards and visualizations. Qlikview excels at quickly creating interactive visualizations and integrating data from various sources, while Oracle Analytics Cloud emphasizes a robust, logical data structure and efficient reporting across disparate databases. Qlikview has a user-friendly interface, making it accessible to non-technical users. Both tools have limitations in terms of the variety of visualizations available.

"...We recently adopted QlikView as our Business Intelligence application, using it primarily to draw from and combine data from three different databases...." Peer review by Rob G., Grants Management Systems Adviser, Government Administration

"...Oracle Analytics Cloud (OAC) includes the following services: - Data Visualization Cloud Service - Data Visualization in OAC, any edition - Data Visualization Desktop - Business Intelligence Cloud Service - Business Intelligence in OAC, Enterprise Edition - Mobile apps Day by Day and Synopsis Hybrid capabilities seamlessly connect these cloud services to their on-premises counterparts, Business Intelligence Foundation Suite and Essbase, so you can access and analyze data in the environment that s best for you...." Peer review

What makes Qlikview and Oracle Analytics Cloud ideal for Communication Management?

Qlikview and Oracle Analytics Cloud both enable users to create and publish reports. Qlikview allows users to customize charts and create reports that can be sent via email. Oracle Analytics Cloud offers features like BI Publisher which allows users to create reports using SQL or from various databases. Qlikview provides a client-server architecture for easy publication, while Oracle Analytics Cloud integrates with other tools like Hyperion and BI Publisher. Both tools have limitations. Qlikview faces challenges with its publisher add-on, and Oracle Analytics Cloud struggles with the stability of its BI Publisher engine.

"...We have successfully installed QlikView server and desktop within one week with a fully functional dashboard published for end users...." Peer review by Debbie Pyykkonen, MBA, Director of Business Analytics, ArchipelagoIS

"...Easy to build and publish reports to a wide user base...." Peer review by Rupankar G, Manager - Projects, Information Technology and Services

How efficiently Does Qlikview and Oracle Analytics Cloud manage your Funnel Analysis?

Qlikview and Oracle Analytics Cloud are similar in that both are tools for data analysis and visualization. Both provide capabilities for creating dashboards and reports. Qlikview is a more traditional business intelligence tool while Oracle Analytics Cloud is a cloud-based platform that includes machine learning and predictive analytics. A limitation of Oracle Analytics Cloud is that expression filters cannot be applied in certain data flows.

"...I like the best Dashboarding, Visual Analytics, Predictive Analytics feature in QlikView...." Peer review by Amit C, Sr.Specialist

"...This Oracle autonomous analytics Leverage cloud-based visualization, predictive analytics, and machine learning to uncover hidden business insights...." Peer review by Istiaque Ahmed B, Assistant General Manager (IT & MIS), Information Technology and Services

Qlikview in Action: Unique Use Cases

How does Qlikview address your Customer Feedback Management Challenges?

Oracle Analytics Cloud in Action: Unique Use Cases

What Are the key features of Oracle Analytics Cloud for Lead Analytics?

Integrations

Ecosystem partners each product commonly connects with.

Oracle Analytics Cloud

News

Latest Qlikview news

Qlik Names Saugata Saha New Chief Executive Officer

Qlik Technologies has appointed Saugata Saha as its new President and CEO, effective July 31, 2026. Saha, previously at S&P Global, brings extensive experience in enterprise data and AI platforms. He succeeds Mike Capone, aiming to drive Qlik's next phase of growth and innovation in data integration and analytics.

07/07/2026 - source

Latest Oracle Analytics Cloud news

Oracle Cloud Infrastructure Release Notes

Oracle Cloud Infrastructure (OCI) has released updates across multiple services, including enhancements to Kubernetes Engine, Database Tools, and Big Data Service. Key updates include new cluster add-ons for Kubernetes, background execution for SQL statements in Database Tools, and new features in Big Data Service 3.4.0. These updates aim to improve cloud infrastructure management and database capabilities.

02/08/2026 - source