Sisense vs GraphPad Prism

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Our analysts compared Sisense vs GraphPad Prism 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.

Product Basics

Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work.

Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI & Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.
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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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$1,500 Monthly, Freemium
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$142 Annually
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Product Insights

  • Brings Intelligence to Every User: Empower every user with data literacy via access to an intuitive data workflow. Leverage self-service BI to connect, mash up, blend and analyze data in a user-friendly, visual framework that is easy to manipulate. 
  • Optimizes Data Prep: Eliminate barriers between analysts and the data they need to reach answers through single-stack technology. Reduce the time needed for data prep and clean data within the interface without changing any of the original data in its source. Perform error-free analysis with better quality assurance. Incorporate everything from a database to ETL to analysis to visualizations within a single architecture in an end-to-end BI system.
  • Delivers Analysis Quickly: Through its proprietary AI-powered in-chip technology, perform thousands of queries on massive amounts of data and return results at faster speeds with in-memory processing, allowing for more efficient decision making.
  • Keeps Data Secure: Leverage advanced machine learning, detect anomalies in the data and send alerts instantly. Set role-based access restrictions, safeguard sensitive data from users who shouldn’t have access to it, and maintain greater oversight and transparency. Offer scalable data security protocols at the process level, system level, object level and data level to ensure tight security. Incorporate built-in recovery and audit strategies to prevent data loss as well as protect the organization’s audit trails.
  • Uncovers Actionable Insights: Make predictions and business decisions based on facts by analyzing data trends and identifying patterns. Improve business practices, reduce oversight errors, boost ROI and streamline general business efficiency. Utilize smart suggestions to best-match visualizations, uncover patterns and highlight trends in data. Build narratives that facilitate deeper interaction with data, and keep a digital assistant analyst at the ready.
  • Promotes Collaboration: Collaborate with others to share reports and insights on KPIs and goals, while ensuring data security compliance by keeping users on a secure network.
  • Offers Customization: Customize the platform to meet users’ needs via an open API framework. Only pay for features they’ll use and get exactly what they want out of a BI tool.
  • Scalable: Agilely adapt to users’ needs. Minimize costs via reasonable pricing and grow with business. Scale to tens of thousands of users and terabytes of data, while powering complex analysis with in-chip machine learning technology.
  • Provides Insights On-the-Go: Stay connected to data that fuels business decisions even while on the move. Access dashboards on any device and elect to receive notifications and real-time updates.
  • Try Before You Buy: Test it hands-on through a 14-day free trial. 
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  • 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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  • In-Chip Analytics: Free up processing power for other tasks, improve the speed of processing and reduce downtime caused by overworked RAM or disks. Combine a columnar database with smart algorithms in an in-chip cache. Choose between either disk or RAM, rather than solely disk or RAM, as an alternative to in-memory processing.
  • Data Connectivity: Draw from many different data sources and formats with hundreds of built-in connectors with cloud applications such as Zendesk and Salesforce. Drag and drop to import from databases and spreadsheets. Pull directly from CRMs or embed the BI interface into the CRM, providing versatility in workflow options.
  • Data Blending: Blend huge datasets from a range of sources instantly into one centralized location, and receive a holistic view of all data. Investigate further through slicing, dicing and exploration of data via a simple, accessible interface.
  • Data Visualizations: Organize user data into easy-to-understand visualizations like bar charts, scattergrams, pie charts, line graphs, interactive maps, etc. Access a rich library of prebuilt graphics and widgets or open source designs, and easily manipulate them from within an intuitive UI. 
  • Interactive Dashboards: Drag-and-drop to build interactive dashboards that encourage deeper data exploration. Help users to build widgets and filters, and leverage AI-assisted exploration and automatic analysis to provide further insight. 
  • Real-Time Insights: Set up and maintain live connections to data and monitor dashboards in real time. Establish push notification alerts to receive automatic updates when changes to KPIs occur. 
  • Single-Stack System: Perform a range of data preparation tasks, such as exploration, analysis, visualization and collaboration, without needing to switch to other platforms.
  • Publish and Share: Enable everyone in an organization to access and filter information with web-based dashboards. Publish a dashboard with one click and open it to the entire company for easy access without needing to download files.
  • Augmented Intelligence: Leverage Sisense Pulse, powered by machine learning algorithms, to continually monitor KPIs and receive proactive alerts when anomalies and variations are detected. Automate previously manual tasks and data-driven workflows, personalize the BI experience with a tailored command center and deliver a dynamically updated feed that keeps users up to date.
  • Embedded Analytics: Turn data into data products that deliver BI to clients with a white label solution in Product Teams.
  • R Integration: Perform predictive analysis and access better BI reporting and decision-making through R programming language.
  • Add-Ons: Extend the functionality of the platform by downloading and equipping any number of free and premium native and third party extensions from the marketplace.
  • Natural Language Processing: Empower users of all data literacy levels to derive the full value of their insights through natural language generation with Sisense Narratives. Simplify into everyday language the complexities of data analysis for accessibility and easier understanding through AI-generated text-based insights.
  • Mobile BI: Access BI on-the-go directly from iOS and Android phones with a native app that renders mobile-optimized responsive dashboards with touchscreen integration. Alternatively, access the platform through a browser from any laptop, tablet or smartphone, no downloads or installation required.
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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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Product Ranking

#11

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Business Intelligence Tools

#70

among all
Business Intelligence Tools

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Analyst Rating Summary

80
we're gathering data
82
we're gathering data
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100
we're gathering data
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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Sisense
GraphPad Prism
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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 82 49 100 100 97 87 93 68 47 83 87 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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User Sentiment Summary

Great User Sentiment 1979 reviews
Excellent User Sentiment 202 reviews
88%
of users recommend this product

Sisense has a 'great' User Satisfaction Rating of 88% when considering 1979 user reviews from 5 recognized software review sites.

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.

5.0 (22)
n/a
4.3 (720)
4.6 (51)
4.5 (357)
4.7 (143)
4.4 (765)
n/a
4.4 (115)
4.1 (8)

Awards

SelectHub research analysts have evaluated Sisense and concluded it earns best-in-class honors for Data Pre-processing.

Data Pre-processing Award

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

User Favorite Award

Synopsis of User Ratings and Reviews

Customer Service and Support : More than 92% of users mentioning customer support said that responses to their queries were prompt and informative, and that there’s good access to online user communities.
Data Integration: Approximately 92% of users who mention data source integrations express satisfaction with its ability to import, blend and streamline data from multiple sources into a cohesive database.
Data Visualization: Citing stunning dashboards with a range of visually powerful visual tools like widgets, graphs and scattergrams, 85% of users who mention data visualization say it’s a strong feature of Sisense.
Ease of Use: More than 93% of users mentioning the platform’s ease of use praise it as user-friendly, citing self-service BI features such as interactive dashboards and data visualizations.
Cost: Among users who comment on its pricing, more than 85% said that Sisense offers great value for its cost, with some reviews coming from long-time customers.
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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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Data Preparation and Modeling: About 50% of users who mentioned data modeling say that it is not as intuitive for non-technical staff, requiring strong IT support.
Training: More than 60% of users who write about learning how to use the platform say that with frequent new releases, a lack of sufficient documentation, coupled with the difficulty of using a programming language make this a tricky tool to master.
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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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Users appreciate how Sisense creates large datasets from constantly evolving data sources to be seamlessly streamlined into actionable data, and presented easily in the form of graphs, bar and pie charts, scattergrams, line graphs, interactive maps and many more visualization types. Regarding customer support, users praise their prompt and informative responses - from implementation to handling subsequent queries — as high quality customer service that comes neatly packaged with pricing plans. Users mention that the implementation of this solution, though easy for basic setup, can be quite demanding in terms of scripting and configuration setup, especially for advanced analytics. Non-technical users might find it challenging to set up the data objects - ElastiCubes - without strong IT support. On the front-end, dashboard customization and formatting of visualizations can be tricky as these require basic knowledge of CSS, Javascript and development. Though a large number of users find this solution to be cost-effective, smaller businesses and startups that only need a limited number of licenses might find it expensive. Overall, Sisense is a strong BI solution with strong data capabilities, and its drill-down functionality empowers users to glean insightful and actionable analytics that drive business strategy by aiding in decision-making processes. To maximize its potential, businesses may require strong IT support for implementation and formatting of visualizations. It is certainly worth considering for enterprise BI needs, if the price is right!

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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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