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QuickSight vs Oracle Business Intelligence Cloud Services

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Our analysts compared QuickSight vs Oracle Business Intelligence Cloud Services 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.

Overview Pricing Benefits & Features Analyst Ratings Comparison Charts Analyst Summary Screenshots
QuickSight Software Tool
Oracle Business Intelligence Cloud Services Software Tool
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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.

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Oracle Business Intelligence Cloud Services (BICS) helps organizations transform raw data into actionable insights through a suite of cloud-based tools. It allows users to gather, store, analyze, and visualize data to make data-driven decisions. BICS is ideal for businesses of all sizes seeking comprehensive BI solutions without the need for extensive on-premises infrastructure. Key benefits include centralized data access, self-service analytics, and pre-built dashboards for quick insights. Popular features include interactive dashboards, data exploration tools, and mobile access for on-the-go analysis. User reviews highlight BICS' scalability, ease of use, and powerful data analysis capabilities. Pricing varies based on deployment options and features selected. Subscription models offer flexible payment options and scalability. Compared to similar products, BICS offers competitive pricing and a comprehensive set of features, making it a strong choice for businesses seeking a robust and cost-effective BI solution.

Pros
  • Scalable
  • Easy to use
  • Powerful data analysis
  • Mobile access
  • Competitive pricing
 Cons
  • Limited customization
  • Steep learning curve for advanced features
  • Limited data connectors
  • Potential vendor lock-in
  • Limited customer support
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$5/User, Monthly
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Product Assistance

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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. 
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  • Business Insights: Offers users the ability to get a deeper understanding of what is happening in their business on a day-to-day basis as well as from a broad overview perspective.
  • Strategic Predictions: Using historical data, users can make more accurate predictions and forecasts of future business results.
  • Smart Visualizations: Users can create stunning graphics with an intuitive drag-and-drop interface and easily adjust layouts. The solution offers users the optimal visualization for the type of data selected, but users can also change the visualization type to view data from multiple angles.
  • Interconnected Interface: Data and visualizations are tied together. Therefore, highlighting data within a certain visual automatically highlights correlating data in other visuals, easily revealing patterns and trends that may not have been obvious.
  • Ease of Use: Simple, clean UI offers easy navigation through the homepage, answers page and dashboards. Nesting and borders in the interface help users stay focused on the data instead of distracting elements of the application.
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  • 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. 
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  • Visual Analytics: Creates graphical visualizations of data to make analyzing insights faster, easier and more accessible.
  • Connected Interface: Data and all visualizations are all tied together, and changes or highlighting in one will be mirrored in the others. This dynamic experience lets visualizations function as connected filters and guiding users through their exploration.
  • Data Blending: Infers correlations between data sets to easily mash personal with managed data. Extends dimensions to add facts or improve the timeliness and relevance of analysis.
  • Mobile Application: Provides an agile mobile experience spanning users’ data portfolio that offers a consistent interface with the desktop application. Users can access analytics instantly on any device.
  • Range of Report Types: The system offers a variety of report types including ad-hoc queries and analysis, enterprise reporting, dashboards, mobile analytics, multidimensional OLAP, scorecards and predictive analytics.
  • BI Server: In-memory optimizations provide quick rollups, powerful compression, faster rollups and sophisticated memory usage for a range of data sizes.
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Product Ranking

#80

among all
Business Intelligence Tools

#396

among all
Business Intelligence Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

QuickSight
Oracle Business Intelligence Cloud Services
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Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 75 54 100 95 90 99 86 73 79 83 88 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

100%
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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.
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Scalability: Easily scales to accommodate growing data volumes and user needs.
Ease of Use: User-friendly interface and intuitive features for both technical and non-technical users.
Self-Service Analytics: Empowers users across departments to explore data and generate insights without relying on IT.
Data Integration: Integrates data from various sources into a single platform for a unified view of business performance.
Powerful Data Analysis: Advanced data exploration and analysis tools for uncovering hidden trends and patterns.
Mobile Access: Access data and insights from anywhere, anytime on mobile devices.
Cost-Effectiveness: Competitive pricing and flexible subscription options make it accessible for businesses of all sizes.
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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.
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Limited Customization: Pre-built dashboards and reports offer limited flexibility for advanced users.
Steep Learning Curve for Advanced Features: Mastering advanced features requires significant training and technical expertise.
Limited Data Connectors: May not support all specific data sources required by some businesses.
Potential Vendor Lock-in: Migrating data and insights to another platform can be complex and time-consuming.
Limited Customer Support: Some users report challenges in accessing timely and comprehensive customer support.
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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.

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User reviews of Oracle Business Intelligence Cloud Services (BICS) paint a picture of a powerful and easy-to-use BI platform with some limitations. Users praise its scalability, self-service analytics, and data integration capabilities, which empower them to make data-driven decisions without relying heavily on IT. As one user stated, "BICS has transformed how we analyze data. Now everyone from sales to finance can access insights and make informed decisions, which has significantly improved our efficiency and performance." However, some users find the platform to be less customizable than competitors like Tableau and Power BI, with limited options for building custom dashboards and reports. Additionally, the learning curve for advanced features can be steep, and some users report limited support for specific data sources. One user commented, "While BICS is great for basic reporting, it lacks the flexibility and advanced features I need for complex analysis. I find myself often switching to other tools for more in-depth work." Despite these limitations, users generally agree that BICS offers a compelling value proposition for businesses seeking a comprehensive and cost-effective BI solution. Its strengths in scalability, ease of use, and data integration set it apart from competitors, making it a good choice for organizations of all sizes. As one user summarized, "BICS may not be the most customizable BI platform out there, but its ease of use, data integration capabilities, and competitive pricing make it a great choice for our company. It helps us get the insights we need to make informed decisions and stay ahead of the competition." Ultimately, whether BICS is the right BI platform for your organization depends on your specific needs and priorities. If you are looking for a user-friendly and scalable solution with strong data integration capabilities, BICS is definitely worth considering. However, if you require a highly customizable platform for advanced analysis or have specific data source requirements, other options might be better suited for your needs.

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Screenshots

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