Home > Business Intelligence Tools > QuickSight > QuickSight vs Yellowfin BI

QuickSight vs Yellowfin BI

Last Updated: November 18th, 2024

Our analysts compared QuickSight vs Yellowfin BI 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.

Yellowfin BI is an integrated platform that helps users transform their business through data by combining automated data analysis, interactive dashboards and storytelling. It also enables intuitive filtering of large amounts of data in real time. It facilitates organization-wide understanding through data sharing and collaborative action. It has a customizable architecture and has the ability to add an organization’s branding, such as its logo.

It offers either enterprise or embedded analytics and is deployable in the cloud or on-premise.

$5/User, Monthly

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$50/User, Monthly, Freemium

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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.

End-to-End BI Stack: Its complete BI suite provides solutions to multiple data analytics problems. Businesses are equipped with critical tools such as automated insights, action-based dashboards and collaborative BI tools. Its robust enterprise governance tool allows businesses to integrate their platform with existing security features.
Convenient Adoption: Its single, integrated platform is user-friendly and easy to adopt. It is deployable either on the cloud or on-premise.
Engaging Data Stories: Users can share their data insights with dynamic, compelling reports and storyboards.
Data Transparency: Yellowfin BI can present data in multiple ways and assimilate into business operations. It's built with various dashboards, including analytical, operational and strategic setups, that link interactive data, allowing users to understand information in real time and allow for the monitoring of crucial metrics. It also ensures data accuracy and can create timelines.
Automated Insights: It combines machine learning with human insights to make use of the company’s data effectively. Its algorithms automatically scan through the company’s data and provide strategically relevant results.
Explore Data With Ease: Its smart visualizations enable easy data discovery and exploration. It has over 50 chart types built-in, which helps users understand their businesses better. It also helps in spotting patterns, trends and outliers.
Open Source Freedom: As a 100% open platform, it has no proprietary lock-in, which allows analysts to use their existing skills and knowledge to develop their own capabilities within the platform. It is open-source in nature, which makes the Yellowfin Marketplace, a digital catalog of many free or low-cost plug-ins, extend the suite’s capabilities even further.
Scalability: It offers a scalable architecture that can adapt according to the growth of a business. Users can scale their data usage, without compromising on performance aspects.

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.

Automated Data Monitoring: Yellowfin Signals provides machine-based automated monitoring of live data. It highlights anomalies and data outliers, and its proactive warning systems keep business owners informed of changes as they happen and deliver insights faster.
Data Storytelling: Yellowfin Stories and Yellowfin Present help users create data stories and presentations that add context to numbers. These presentations enable clear and concise understanding throughout the organization with accessible insights sourced from one centralized, automatically refreshed database. Data stories can be authored in blog format and supplemented with external media and attachments.
Connectivity to Various Data Sources: It facilitates connection with numerous data sources, including Web APIs, spreadsheets and relational databases as either on-premise or hosted in the cloud. Data is then transformed and merged so that it is accessible by any analytics platform without proprietary lockouts.
Data Analysis: It helps businesses accelerate the analysis of large chunks of data using databases, spreadsheets or online applications.
Data Discovery: The Insight Wizard feature is a unique inclusion that helps users cut down on discovery times with the help of assisted insights. It comes packed with features that provide automated answers with the use of algorithms.
Dashboards: Its customizable, interactive dashboards enable users to keep track of key performance indicators in real time. They drive action and let users make data-driven decisions for their companies. They can be customized with the company’s branding and their open-source code lets users create their own application experience.
Embeddable Workflows: Out-of-the-box, Yellowfin action buttons allow users to integrate workflows to third-party applications, or develop their own custom workflows that allow users to take direct action from their dashboards.
Mobile App: It comes with a mobile application that helps users track changes to their data on-the-go. The app is curated for a mobile-specific experience, which allows users to track changes and respond to them from internet-enabled devices.

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Analyst Rating Summary

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User Sentiment Summary

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Yellowfin BI has a 'great' User Satisfaction Rating of 85% when considering 182 user reviews from 6 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.

Intuitive Interface: Users praise Yellowfin for its user-friendly design, making it easy to navigate and build reports without extensive training.

Powerful Data Visualization: Yellowfin offers a wide array of charting and visualization options, allowing users to present data in a clear and compelling way.

Strong Customer Support: Users appreciate the responsive and helpful customer support provided by Yellowfin, ensuring they can get assistance when needed.

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.

Difficult to Learn: Some users find the platform's interface and features difficult to learn and navigate, especially compared to other BI tools.

Limited Customer Support: Users have reported experiencing slow or unhelpful customer support, making it challenging to resolve issues quickly.

Data Visualization Limitations: While Yellowfin offers data visualization capabilities, some users find them less intuitive and flexible compared to other BI tools, limiting their ability to create compelling reports and dashboards.

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.

Is Yellowfin BI the "gold standard" for your business intelligence needs? Recent user reviews suggest that Yellowfin BI is a capable business intelligence platform that shines in its user-friendly interface and robust feature set, making it a good fit for businesses of all sizes. Users praise its intuitive design, which allows even non-technical users to easily navigate and utilize the software. The platform's comprehensive suite of features, including data visualization, reporting, and automated insights, empowers businesses to gain a holistic understanding of their data. However, users also point out some drawbacks. A common gripe is the cost, which can be a barrier for smaller businesses or those with limited budgets. Some users find the software's learning curve steeper than expected, particularly when it comes to advanced features. Despite these weaknesses, Yellowfin BI differentiates itself through its focus on data storytelling and its ability to seamlessly integrate with a wide range of data sources. The platform's storytelling feature allows users to present data insights in a compelling and engaging way, facilitating better decision-making. Its broad data source compatibility ensures that businesses can connect and analyze data from various sources, providing a unified view of their operations. Overall, Yellowfin BI is best suited for businesses that prioritize user-friendliness and a comprehensive feature set in their business intelligence solution. Its intuitive interface and robust capabilities make it a valuable tool for organizations looking to leverage data for informed decision-making. However, businesses with budget constraints or those seeking a platform with a shallower learning curve may need to consider alternative options.

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