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QuickSight vs Pyramid Analytics

Last Updated: November 18th, 2024

Our analysts compared QuickSight vs Pyramid Analytics 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 User Ratings Analyst Summary Screenshots

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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.

Pyramid Analytics offers an enterprise-grade operating system that scales smoothly from single-user to organization-wide implementation. It’s OS agnostic and can be deployed in the cloud or on-premise.

It promotes data literacy by allowing different levels of users to utilize different capabilities. It is designed to support an organization’s decision workflow end-to-end from self-service analytics to forecasting.

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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.

Support Strategy: Execute analytics strategies with smooth implementation, management and support. Reduces silos by making data available to the entire organization.
Perform Self-Service Analytics: Maximizes value and streamlines operational investments through the delivery of faster, better insights. Self-service and a transparent user experience promote data literacy.
Create Compelling Visualizations: Clearly communicate insights through intuitive, dynamic graphics, including charts, graphs, tables and interactive visualizations.
Identify and Address Business Problems: Recognizes data trends and identifies problem areas while providing suggestions for rectifying them.
Make Data-Driven Business Decisions: Create models to understand operational data and forecast how changes will affect the business to make more informed decisions.
Perform One-Click Analytics: Draw data from both traditional and big data sources through machine learning analytics to make data processing simple. Augmented guidance features help guide users to answer key business questions.

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.

Advanced Analytics: Run advanced queries on large datasets and perform analysis on business questions.
Machine Learning Models: Create data models that adapt as the software learns to “anticipate” future needs and queries.
Drag-and-Drop: The Business User ETL offers a drag-and-drop interface that makes cleaning and preparing data for analysis easy.
Ad-Hoc Reporting: Create spur-of-the-moment reports to answer specific business questions rather than formulating on a recurring schedule.
Graphical Data Representation: A variety of graphical visualization options to depict datasets in the most aesthetically pleasing and intuitive way. Some of these include bar graphs, pie charts, scattergrams and more.
Content Sharing: The publish module can create pixel-perfect reports and embed them into a range of export formats, including emails and HTML.

Product Ranking

#80

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#29

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Analyst Rating Summary

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User Sentiment Summary

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Pyramid Analytics has a 'great' User Satisfaction Rating of 89% when considering 144 user reviews from 3 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.

Support: All users who mentioned support say that support teams were quick to reply and help out.

Performance: The platform can quickly make insights available to businesses, as reported by all reviewers who specified performance.

Ease of use: The system is easy to implement, deploy and integrate, according to about 83% of users who talked about ease of use.

Connectivity: About 75% of users who spoke about connectivity mentioned the solution’s ability to integrate and work with data from multiple sources.

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.

Steep Learning Curve: Pyramid Analytics has a huge learning curve, according to approximately 58% of users who referred to the learning curve.

Data Visualization: 60% of users who mentioned visualization say that dashboards were aesthetically unpleasant.

Functionality: Of users who talked about functionality, around 69% say that the system has stability issues.

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.

Pyramid Analytics is a flexible, scalable BI platform with machine learning capabilities. It lets users mash up data from multiple sources, model data within the application and run reports in mere minutes, as opposed to manual processes that would take hours.Its numerous features have the ability to carry out complex data analysis. Users found customer support to be helpful when demonstrating the tool’s full potential. Users also liked the ability to incorporate AI into their dashboards. However, Some users found navigating through dashboards to be difficult. Users also complained that dashboard features could be more effective. New features were sometimes unstable, introducing bugs to existing functionality. Conclusively, it is a cost-effective, intuitive solution with excellent support that can quickly deliver insights to all levels of a businesses.

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