QuickSight vs Jaspersoft

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Our analysts compared QuickSight vs Jaspersoft 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.

QuickSight Software Tool
Jaspersoft Software Tool

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.

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Jaspersoft is a reporting and data analytics suite built around the JasperReports engine that helps businesses create seamlessly embeddable, pixel-perfect reports, dashboards and visualizations. It empowers businesses with the self-service capabilities to find answers to data questions through beautifully rendered visuals that are easy to understand and explain. Bridging the gap between insight and action, it promotes ownership of the decision-making process across organizations.

It includes JasperReports Library, JasperReports Server and JasperReports Studio. The vendor also offers a cloud and microservice-embeddable reporting engine, JasperReports IO.
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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. 
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  • Built for Embedding: This system isn’t just modified to embed — it is designed to integrate on both the front and back ends of any host application. Its API-first approach grants direct access to a range of functionality from within other solutions.
  • Self-service BI: Improves data literacy across the organization through self-service analytics. Create reports and visualizations with an easy drag-and-drop report builder.
  • Flexible Architecture: Leverage its data-agnostic architecture to draw from heterogeneous data, access any database management system and work within a variety of systems. Deploy on-premises, in the cloud or even to containerized or microservices-based architectures.
  • Intuitive Design: Develop pixel-perfect reports with a custom module that integrates into the host application. Offers a wide variety of out-of-the-box reports as well as custom visualizations to address business needs.
  • Collaborate Across Departments: Export reports in a variety of formats to share via email, save to a shared repository to allow others to view or publish them to a website or host application.
  • Identify Data Trends: Discover patterns and trends in business data and unearth otherwise unseen trends through different data visualization types. Drill down into information to find out more.
  • Delivers Business Insights: Make more informed business decisions and plan for the business’ future based on historical trends and forecasts. Drill down, slice and dice, pivot and filter to quickly perform advanced analytics on business-critical data.
  • Secure Integrations: Maintains integrity of sensitive business data across connected applications. Enables seamless external authentication and authorization when integrating with other applications.
  • Developer-focused: Modify its open source code to deploy custom features to suit business needs. Develop and integrate applications with the support of multi-tenancy, flexible APIs and the online community.
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  • 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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  • Flexible Architecture: Deploy on-premises, in the cloud or within a container. Simplify mobile and web-integration with a RESTful web service architecture. Manage the whole BI deployment from a single, central hub.  
  • Reporting: Drag and drop to create on-the-spot interactive reports for dashboarding and sharing. Schedule and distribute reports via email, either on a one-off or recurring basis. 
  • Branding: Customize the interface — logos, font colors and styles, spacing and graphic elements — to match the brand through theming and white labeling. 
  • Security: A repository connects to existing identity management systems to centralize and secure report views. Track report access and usage for compliance. Granular permissions allow for security down to the cell and column level. 
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Product Ranking

#80

among all
Business Intelligence Tools

#27

among all
Business Intelligence Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

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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 75 54 100 95 90 99 86 73 79 83 88 0 25 50 75 100
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User Sentiment Summary

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Great User Sentiment 495 reviews
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81%
of users recommend this product

Jaspersoft has a 'great' User Satisfaction Rating of 81% when considering 495 user reviews from 4 recognized software review sites.

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4.0 (105)
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4.3 (27)
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4.2 (89)
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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.
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Pricing: All users who reviewed pricing said that the platform, being open-source, is cost-effective.
Data Integration: Around 83% of the users who discussed data source connectivity said that the solution pulls data seamlessly from a wide range of data sources.
Functionality: Citing versatility and scalability, approximately 77% of the users who reviewed its functionality said that the tool is easily embeddable in proprietary applications.
Support and Online Community: Support is responsive and the online community is helpful, according to 69% of the users who mentioned them.
Ease of Use: Around 68% of the users who discussed the interface said that it is easy to create reports and data visualizations with the tool.
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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.
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Performance: Around 87% of the users who reviewed performance said that debugging errors can be tricky and the platform needs to improve in this regard.
Learning Curve: Approximately 67% of the users who mentioned onboarding said that there is a steep learning curve to using the solution.
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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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Jaspersoft is a suite of integrated products that offer solutions for creating, sharing and securely managing KPI-focused reports, dashboards and visualizations. All users who reviewed the platform’s cost-effectiveness said that its being open-source is a major plus. Most of the users who mentioned data connectivity said that, besides seamlessly integrating with a multitude of data sources out-of-the-box, it helps businesses develop custom sources to import as much data as possible. Most of the users who discussed its functionality said that the tool is easily embeddable in host applications, and scales easily to create and display visualizations and reports in-application. Support is responsive and online communities are proactive and helpful, according to a majority of the users who discussed them. Many of the users who reviewed its interface said that they find it easy to start creating reports with the tool. Most of the users who discussed its reporting capabilities said that it helps them customize reports in a variety of formats and schedule sharing with teams via email. A majority of the users who reviewed data visualization said that the tool helps them present data in a wide range of visually appealing formats, such as charts, graphs and cross-tabs. On the flip side, according to a majority of the users who reviewed performance, the platform is prone to infrequent bugs, and debugging them can be time consuming. Many of the users who discussed ease of adoption said that there is a steep learning curve, possibly due to inadequate documentation. Some users who mentioned ease of reporting said that it is time and effort-intensive to create professional-looking reports. In summary, Jaspersoft is a suite of versatile and customizable reporting and analytics solutions that help the end-user find answers to the data questions that are specific to their business, though there might be a significant learning curve for adoption by teams, with Java at its back-end.

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