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GraphPad Prism vs QuickSight

Last Updated: November 18th, 2024

Our analysts compared GraphPad Prism vs QuickSight 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

Graphpad Prism is a statistics, data analysis and graphing package that simplifies powerful statistics to help users analyze smarter, not harder. Though specialized for scientific research, it doesn’t require its users to have programming knowledge in order to tell stories with their data and create a wide variety of data visualizations with ease.

It can be installed on Windows or Mac devices and is available through a group or personal subscription, which comes with free updates during the subscription term and is billed on an annual basis, or through a perpetual license, which does not include upgrades and guaranteed support for future operating system updates. For short-term projects, individual users can get a monthly subscription. Students can receive a subscription at a discounted rate.

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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Product Insights

Perform the Right Analysis: With clear language and a checklist for each process, Prism helps users select the most suitable statistical analysis from its library while bypassing technical jargon.
Helps You Learn As You Go: At almost every step, users can access pages from Prism’s online help. Tutorial data sets help users understand how and why they should perform analyses, how to make graphs and how to interpret the results of their analyses.
Focus on Research: Because users can utilize the software and automate processes without coding, it allows them to spend more time researching and less time programming. The software also takes care of updating graphs and results, freeing up even more time for researchers.
Publish with Ease: The solution allows users to customize and save default settings to meet their publishing requirements so that they can export publication-quality graphics with one click.
Enhance Collaboration: All parts of a Prism project, including the raw data, analyses, results, graphs and layouts, are contained in a single file that users can share with others, who can then follow their work step-by-step and add value to their findings.
Educational Resources and Support: Graphpad provides extensive online help guides for doing statistical analyses with Prism, as well as video tutorials and sample data sets that users can practice analyzing with the platform. The vendor also provides online training center options and technical support for the product, offering users the assistance and tools they need to succeed.
Free Trial: Interested parties can try the platform with a free 30-day trial with no credit card or commitment necessary.

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.

Statistical Analysis: Prism offers a comprehensive library of statistical analyses, including nonlinear regression, t-tests, nonparametric comparisons, ANOVA, analysis of contingency tables, survival analysis and more. Users can confirm that they have chosen the appropriate test for their needs with a checklist that helps them understand the required statistical assumptions.
One-Click Regression Analysis: Prism allows users to select an equation and it will take care of the rest, including fitting the curve, displaying a table of results and function parameters, drawing the curve and interpolating unknown values.
Data Tables: Unlike spreadsheets or many other graphing programs, Prism has eight types of data tables that are specifically formatted for certain analyses, making it easier for users to enter data correctly and perform accurate analyses.
Real-Time Updates: When any changes are made to the data and analyses, those changes are reflected in the results, graphs and layouts instantaneously with updates in real time.
Customizable Data Visualization: Users can create a wide variety of visual representations of their data, including violin plots, box-whisker, bar graphs, subcolumn graphs, smoothing splines, scatter plots and more. They can also enhance these graphics with customization options that help them tell their data’s story in whatever way they desire; they can choose the type of graph, how the data is arranged, the style of the data points, labels, colors, fonts, look and more.
Prism Magic: Users can select one or more Prism graphs and apply a consistent look to the set with one-click simplicity, saving valuable time spent otherwise on standardizing the look of multiple graphics.
Export Graphics: Users can export their graphs in high-quality and customize the file type, resolution, transparency, dimensions, color, space, etc. of their visualizations to meet the requirements of publication. To save time in the future, users can set their default export preferences.
Work Automation: Users can reduce the number of tedious steps needed to analyze data by setting up reproducible workflows that can create templates, duplicate families or clone graphs.
Tools for Teamwork: Prism allows for enhanced collaboration with other scientists, with all the information in a Prism project, including raw data, analyses, results, graphs and layouts, contained in a single, shareable file. Others can follow along with your work at every step, adding their insight and streamlining your collective research efforts.

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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Analyst Rating Summary

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User Sentiment Summary

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GraphPad Prism has a 'excellent' User Satisfaction Rating of 93% when considering 202 user reviews from 3 recognized software review sites.

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Synopsis of User Ratings and Reviews

Easy Data Entry: Users appreciate the intuitive interface that makes it simple to input and organize data, even for complex experiments. For example, users can easily import data from spreadsheets or directly enter data into the program.

Powerful Analysis: Prism offers a wide range of statistical tests and graphing options, allowing users to analyze data in depth and visualize results effectively. For example, users can perform t-tests, ANOVA, regression analysis, and more.

Customization: Users can customize graphs and reports to meet their specific needs, ensuring that data is presented clearly and effectively. For example, users can adjust colors, fonts, and labels to create visually appealing and informative graphs.

Collaboration: Prism allows users to share data and results with colleagues, facilitating collaboration and communication. For example, users can export data and graphs in various formats, including PDF, Excel, and PowerPoint.

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.

Steep Learning Curve: New users often find the interface and features overwhelming, requiring significant time investment to master. This can be a major hurdle for teams with tight deadlines or limited training resources.

Limited Data Handling: Prism struggles with large datasets, making it less suitable for complex analyses involving extensive data manipulation or integration with other tools. This can be a problem for businesses with large-scale data collection and analysis needs.

Lack of Collaboration Features: Prism lacks robust collaboration features, making it difficult for teams to work together on projects. This can be a significant drawback for businesses that rely on collaborative data analysis and reporting.

Costly Licensing: Prism's licensing model can be expensive, especially for larger teams or organizations. This can be a barrier for businesses with limited budgets or those looking for more cost-effective solutions.

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.

Is GraphPad Prism the real deal or just a statistical mirage? GraphPad Prism is a popular software choice for scientists who need to analyze and visualize their data. Users praise its ease of use, especially for those without a strong statistics background. They appreciate the intuitive interface and the clear explanations provided for each statistical test. The software's ability to generate publication-quality graphs is a major selling point, with users highlighting the wide range of customization options available. For example, one user mentioned using Prism to generate figures for publication in peer-reviewed journals, highlighting its ability to create professional-looking visuals. However, some users have expressed concerns about the software's performance, particularly on older or less powerful computers. One user noted that Prism can be resource-intensive, even on a computer with 8GB of RAM. This can be a significant drawback for researchers who need to analyze large datasets or work on machines with limited resources. Additionally, some users have suggested that the tutorials could be improved, particularly for specific analyses like IC50 calculations. They believe that more real-life examples and detailed explanations would be beneficial. Overall, GraphPad Prism is a powerful tool for scientists who need to analyze and visualize their data. Its ease of use, comprehensive statistical analysis capabilities, and ability to create publication-quality graphs make it a strong choice for researchers. However, its performance on older computers and the potential for improvement in its tutorials are areas that could be addressed in future updates. GraphPad Prism is most suited for scientists who are looking for a user-friendly software that can handle a wide range of statistical analyses and produce high-quality graphs for publications.

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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