GraphPad Prism vs Oracle Business Intelligence

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Our analysts compared GraphPad Prism 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.

Oracle Business Intelligence Software Tool

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.
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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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$142 Annually
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Product Assistance

Documentation
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Live Online
Videos
Webinars
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Videos
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Email
Phone
Chat
FAQ
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Knowledge Base
24/7 Live Support
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24/7 Live Support

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.
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  • 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.
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  • 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.
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  • 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.
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Product Ranking

#70

among all
Business Intelligence Tools

#50

among all
Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 202 reviews
Great User Sentiment 508 reviews
93%
of users recommend this product

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

83%
of users recommend this product

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

4.6 (51)
3.3 (11)
4.7 (143)
4.1 (89)
n/a
4.2 (408)
4.1 (8)
n/a

Awards

GraphPad Prism stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

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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.
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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.
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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.
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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.
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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.

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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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