Home > Business Intelligence Tools > QuickSight > QuickSight vs Oracle Business Intelligence

QuickSight vs Oracle Business Intelligence

Last Updated: November 18th, 2024

Our analysts compared QuickSight vs Oracle Business Intelligence based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

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Product Basics

Amazon QuickSight is a business intelligence tool that enables organizations to visualize and analyze data, derive insights, and make informed decisions. It empowers users with interactive dashboards, data exploration capabilities, and machine learning-driven insights, making it an ideal solution for businesses seeking to leverage data for better outcomes.

The benefits of Amazon QuickSight include its ease of use, fast performance, and scalability to handle large datasets. Its popular features include natural language querying, automated insights generation, and integration with other AWS services. Compared to similar products, Amazon QuickSight stands out for its affordability, ease of deployment, and robust feature set.

Pricing for Amazon QuickSight is based on a per-user, per-month subscription model. It offers flexible pricing options to accommodate varying business needs, ensuring cost-effectiveness and scalability as organizations grow.

Oracle Business Intelligence (BI) is a robust suite designed to empower users by providing comprehensive capabilities, including data integration, analytics, and reporting. This is a product that's most suited for medium to large enterprises which have complex data environments and require in-depth insights into their operations. Its important benefits are scalability, advanced analytics, data visualization, and a strong support infrastructure that Oracle is known for. An important feature set includes self-service analytics, ad-hoc analysis, mobile analytics, and robust dashboard capabilities. This sophistication lends itself to comparison with other enterprise-grade BI tools, where users often highlight Oracle BI's extensive integration facilities and powerful back-end capabilities as differentiators. However, given its depth and complexities, it can also present a steep learning curve for new users. Pricing considerations are important as Oracle BI is viewed as a premium offering. Typically, it's priced on a per-user basis, with payment frequencies ranging from monthly to annual licensing. Prospective buyers should note that the total cost of ownership may include additional expenses for implementation, customization, and training. In summary, Oracle Business Intelligence serves as a comprehensive data suite that leans towards the higher end of the market in both capability and price.

Pros

Powerful data warehousing
Scalable for large organizations
Wide range of features
Integrates with other Oracle products
Large user and developer community

Cons

High cost of ownership
Complex setup and management
Steep learning curve
Limited non-Oracle platform support
Less user-friendly than some alternatives

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Product Insights

Self-Service BI: Get answers to questions and share insights independently through self-service analysis of business data. Connect to data sources, manipulate values to create visualizations, invite others to collaborate and share dashboards and reports — all without the need to install any application.
Multi-Tenancy: Its multi-tenant architecture with namespaces allows vendors to provide data exploration and dashboarding capabilities for multiple applications at the same time. Host multiple clients and add templates created and shared by dashboard authors to the proprietary visualizations library.
Embedded Analytics: Embed dashboard sessions into proprietary software to enhance business with console analytics. Personalize the appearance of visualizations and reports by adding custom fonts, colors and styles. Set defaults and error handling to match the host application for a cohesive feel.
Report Sharing: Stay informed as to how key metrics are performing by scheduling automatic email updates. Ensure secure access to dashboards and email reports by showing only relevant data through targeted reports.
Flexible Pricing: Save on upfront costs and capacity planning through its p ay-as-you-go pricing model for report consumers — people who view dashboards, but don’t create them.
Mobility: Get data insight and forecasting summaries on-the-go through its mobile version, available on both iOS and Android. Drill down into mobile-optimized dashboards and reports for in-depth analysis and filter to view specific metrics, even when away from the office. Share results with others and get email alerts for changes in business data as they happen.
Automate Deployments: Deploy applications at scale, keeping them online for continued access while minimizing downtime. AWS CodeDeploy provides automated app deployments to multiple cloud compute services, such as Amazon EC2, AWS Fargate, AWS Lambda, and on-premise servers. Seamlessly integrates with continuous delivery process pipelines, such as AWS CodePipeline, GitHub and Jenkins.
Promote Data Literacy: Identify key metrics, perform what-if analysis through simple point-and-click actions, discover hidden trends and generate forecasts — without needing any technical skills. Generates dashboard summaries in easy-to-understand language to enable shared understanding of data insights.
Scalable: Its serverless architecture makes it easily scalable, ensuring fast loading of dashboards even during peak traffic. Scales as the organization grows to take on larger loads — no need to set up dedicated servers.
Data Security: Its Enterprise version provides additional security features through permissions-based access to AWS data, row level security, SSO and data encryption. It is FedRamp, HIPAA, PCI PSS, ISO and SOC compliant, keeping with industry best practices.

Interactive Visualizations: Users have access to a wide selection of interactive dashboards, charts, graphs and other data visualization tools. They can filter, drill down or pivot data directly from the dashboard while prompts and suggestions from the system guide them through the exploration process to uncover additional insights.
Oracle Exalytics: Using Oracle Exalytics, users can analyze massive datasets efficiently and without the need for a technical professional such as a data analyst.
Self-Service: Even non-technical users will be able to explore, organize and interpret data using this analysis system. The intuitive visualizations make the information easy to understand and share for employees at any level of data literacy.
Actionable Intelligence: By analyzing data and identifying trends, users are more prepared to make decisions about business practices, quotas, forecasting and much more.
Proactive Alerts: Users can set predefined alerts that send users real-time updates when the system is triggered or scheduled. These alerts are sent via a preferred channel, including email, internal file storage and text message based on the severity of the alert.
Mobile Access: Everything in the solution is presented with a consistent interface on the mobile device of the user’s choosing. This includes multitouch and gestural interactions with map graphics and other advanced features.

Data Connectivity: Connect to a multitude of cloud-based and on-premise data sources such as Salesforce, JIRA, Github, Teradata, MySQL, SQL Server, Postgres and many more, or upload data from Excel, JSON, CSV and Presto files.
Integrations: Perform predictive data analysis by integrating Amazon Sagemaker ML-based data models with its supported data sources, such as S3, Athena, Redshift, as well as third party sources that include Salesforce and JIRA, among others. Easily integrates with BI tools such as Domo and Tableau for data querying through an intuitively similar SQL interface.
Data Visualization: Create interactive visualizations and reports by choosing from a rich library of graphs, charts and tables. Build dynamic dashboards by interacting with data in real time through drag-and-drop, drill-down and filtering options.
Reporting: Its Enterprise edition provides ad-hoc as well as scheduled reporting to share targeted reports on a daily, weekly or monthly basis. Subscribe to receive reports via email. Creates a custom snapshot of the report based on individual data permissions.
In-Memory Engine: Perform calculations and analyses at the speed of thought by querying through its super-fast parallel in-memory calculation engine, SPICE. Built from the ground up, it prepares data faster by replicating it in memory and updates in real-time as the underlying data changes.
Dashboards: Create data dashboards with 28 supported charts, such as filled maps, histograms, funnel charts, stacked area charts, waterfall charts and boxplots, as well as tables and pivot tables. View information based on business context by sorting on fields not shown in the visualization. Provide report readers with on-sheet controls to slice and dice data by filtering on fields. Offers multiple report layout customization options that include adding drop-downs with single-select or multi-select sorting.
ML-Based Insight: Get in-depth data insights through its out-of-the-box ML and NLP capabilities. Perform queries on data in seconds in simple language through its natural language attribute, Q. It learns from data patterns to provide accurate predictions based on historical trends. Detect anomalies and variations in data aggregates through scheduled anomaly detection.
Localization: Available as a global solution with support for 10 major languages: English, German, Spanish, French, Italian, Portuguese, Japanese, Korean, Simplified Chinese, and Traditional Chinese.

Dashboards: The rich dashboard feature lets users see and interact with personalized dashboards based on their predefined role. They can explore the data freely along a guided navigation path that leads them to new insights.
Report Types: The system can create a variety of report types including ad-hoc analysis, interactive reports, custom reports and a selection of pre-built reports.
Big Data: The in-memory processing power of this solution allows users to incorporate big data sets without needing to integrate another solution. It can draw from large databases such as Hadoop, HIVE, Google Analytics, etc.
Augmented Analytics: The inclusion of machine learning and AI in the analytics process enhances the user experience by streamlining every aspect of it. The system remembers previous searches, offers natural language search queries and provides intelligence suggestions for the ideal visualization for each individual dataset.
Enterprise Reporting: This feature refers to the creation of simple reports in the most efficient, organized manner possible. This analytics tool facilitates the creation of files from templates such as checks, flash reports, tables and more.
Spatial Visualizations: The visualization tools aren’t limited to two dimensions; the system also offers a map view in which the data is projected on a fully interactive map. This graphic can include color fill, adjustable size markers, customizable image markers, multiple forms of binning and continuous color-fill features.

Product Ranking

#80

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#50

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Analyst Rating Summary

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User Sentiment Summary

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Oracle Business Intelligence has a 'great' User Satisfaction Rating of 83% when considering 508 user reviews from 3 recognized software review sites.

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Synopsis of User Ratings and Reviews

Self-Service Analytics: QuickSight empowers business users to create and customize visualizations, dashboards, and reports without relying on IT or data scientists.

Cloud-Based Platform: QuickSight's cloud-based architecture eliminates the need for costly on-premise infrastructure and provides seamless access from anywhere with an internet connection.

Scalability and Performance: QuickSight handles large datasets efficiently, allowing users to analyze vast amounts of data in real-time.

Easy Integration: QuickSight seamlessly integrates with popular data sources, including Amazon Redshift, Amazon Aurora, and Salesforce, enabling users to access and analyze data from various systems.

Machine Learning Capabilities: QuickSight leverages machine learning algorithms to provide predictive analytics, anomaly detection, and automated insights, empowering users to uncover hidden patterns and make data-driven decisions.

Collaboration and Sharing: QuickSight facilitates collaboration among teams by allowing users to share dashboards, reports, and insights securely.

User-friendly interface: Oracle BI is lauded for its intuitive and easy-to-use interface, making it accessible to users with varying technical expertise. Drag-and-drop functionality and self-service reporting empower users to analyze data independently.

Robust data integration: Oracle BI seamlessly integrates with diverse data sources, including relational databases, cloud applications, and flat files. This eliminates data silos and provides a unified view of critical business information.

Powerful data visualization: Oracle BI offers a comprehensive library of interactive visualizations, including charts, graphs, maps, and dashboards. These visuals help users identify trends, patterns, and insights within their data.

Flexible deployment options: Oracle BI offers both on-premise and cloud deployment models, catering to various organizational needs and preferences. This flexibility ensures scalability and accessibility for users across different locations.

Extensive security features: Oracle BI prioritizes data security with role-based access control, data encryption, and auditing capabilities. This ensures authorized users can access relevant information while protecting sensitive data.

Pricing Structure: Complicated pricing model that can lead to unexpected costs for advanced features and usage.

Limited Customization: Pre-built dashboards and visualizations may not fully meet specific business requirements, limiting customization options.

Data Connectivity: May not seamlessly integrate with all data sources, requiring additional effort for data preparation and ingestion.

Limited Advanced Analytics: Lacks certain advanced analytical capabilities, such as predictive modeling and machine learning algorithms, which may be essential for deeper insights.

User Interface: Some users find the user interface to be cluttered and not as intuitive as other BI tools, impacting the ease of use.

High cost: Oracle BI can be expensive to purchase and implement, especially for small and medium-sized businesses. The initial investment and ongoing maintenance costs can be a significant barrier for some organizations.

Steep learning curve: While the interface is user-friendly, mastering the full potential of Oracle BI requires time and effort. This can be challenging for users who are not familiar with data analysis tools or who have limited technical experience.

Limited customization options: While Oracle BI offers a range of features, some users find the customization options to be restrictive. This can be limiting for organizations with specific needs or unique data analysis requirements.

Potential performance issues: Large datasets and complex queries can lead to performance slowdowns in Oracle BI. This can be frustrating for users who rely on real-time insights and data accessibility.

Vendor lock-in: As a proprietary platform, Oracle BI can lock users into Oracle's ecosystem. This can make it difficult to switch to other BI solutions in the future, limiting flexibility and potentially increasing costs.

Amazon QuickSight has received positive user reviews for its ease of use, intuitive interface, and quick data visualization capabilities. Users find it simple to connect to data sources, create dashboards, and generate insights. The drag-and-drop functionality and pre-built templates make it accessible to users of all technical skill levels. QuickSight's strengths include its integration with other Amazon Web Services (AWS) products, such as Amazon Redshift and Amazon S3, allowing for seamless data analysis. It also offers advanced features like machine learning-powered insights and natural language querying, providing users with deeper analytical capabilities. Compared to similar products, QuickSight is praised for its cost-effectiveness and scalability. Users appreciate its pay-as-you-go pricing model and the ability to handle large datasets without performance issues. However, some users have expressed concerns about the limited customization options and the lack of certain advanced features found in competing products. Overall, Amazon QuickSight is well-suited for businesses and organizations looking for an easy-to-use and affordable business intelligence solution. Its intuitive interface, integration with AWS products, and scalability make it a valuable tool for data visualization, analysis, and decision-making.

Oracle Business Intelligence (OBI) garners mixed reviews from users. Many praise its robust functionality and ability to handle large datasets, with one user noting, "OBI can handle almost anything I throw at it." Another highlights its insightful dashboards and reporting capabilities, stating, "OBI provides the perfect blend of data visualization and analysis tools." However, some users criticize OBI's steep learning curve and complex interface. One user lamented, "It took me months to feel comfortable using OBI effectively." Others point to its integration limitations, especially with non-Oracle products, with one user stating, "OBI shines within the Oracle ecosystem but struggles with others." When compared to competitors like Microsoft Power BI and Tableau, users often cite OBI's scalability and data-handling prowess as its main differentiators. One user highlighted, "OBI is the go-to solution for large-scale enterprise data analysis, leaving Power BI and Tableau behind when dealing with massive datasets." Additionally, users appreciate OBI's tight integration with other Oracle products, creating a seamless workflow within the Oracle ecosystem. However, users also acknowledge OBI's shortcomings in terms of user-friendliness and flexibility. One user stated, "Power BI and Tableau offer a more intuitive and user-friendly experience, making them more accessible to a broader range of users." Additionally, some users find OBI's reliance on Oracle technologies limiting, preferring the broader platform compatibility offered by competitors. Ultimately, the choice between OBI and its competitors depends on specific needs. For organizations requiring in-depth analysis and scalability, OBI remains a powerful contender. However, those prioritizing user-friendliness and integration flexibility may find alternatives like Power BI and Tableau more attractive.

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