Jaspersoft vs Qrvey

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Our analysts compared Jaspersoft vs Qrvey based on data from our 400+ point analysis of Embedded Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Jaspersoft Software Tool

Product Basics

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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Qrvey is an all-in-one embedded and distributed analytics platform purpose-built for SaaS providers living in the AWS ecosystem. It provides self-service visibility and control over entire data pipelines, including data collection and transformation, analytics and visualization. Working seamlessly with all types of structured, semi- and unstructured data, it helps organizations become more data-driven with a big picture approach to delivering insights and taking action.

Compared to legacy, server-based environments, its modern, serverless architecture speeds and simplifies deployment while offering savings. It deploys directly into existing AWS environments, simplifying data security and compliance. Suitable for small, medium and large SaaS businesses alike, it prioritizes flexibility and scalability through its unique infrastructure. Special pricing is available for startups.
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$233 Monthly, quote-based
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Product Assistance

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24/7 Live Support
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24/7 Live Support

Product Insights

  • 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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  • Leverage Cloud-Native Infrastructure: Deploys directly and securely into existing AWS ecosystems, streamlining data security and administration requirements because data never leaves the client’s environment. Provides worry-free initial installation, maintenance and upgrades over time.
  • Access Low Costs: Reduce cost of ownership compared to server-based solutions — the serverless platform only uses resources when they’re actively in use. Stop paying for servers that sit idle and maximize technology investments.
  • Ensure Flexibility and Scalability: Leverage major technological advances such as machine learning and microservices through AWS to cut loose from legacy architectures. Scale flexibly with data tasks and business needs as they develop and modernize.
  • Provide Zero-Downtime Version Updates: Update applications with no hassle or downtime; test each update in development and staging environment before pushing them live.
  • Offer SDLC Compliance: Fully SDLC compliant, dev-friendly development, staging and production environments make testing and deploying embedded analytics simple and fast.
  • Boost Ease of Use: Effortlessly build and use analytics with its intuitive interface, designed for self-service access to information without requiring any coding.
  • Implement All-in-One BI: Reduce complexity by providing multiple built-in data tools in one end-to-end solution. Collect and transform data, visualize and analyze it, then “set it and forget it” with automated workflows.
  • Facilitate Automation: Spend less time on analytics processes with automated data-driven workflows that deliver insights straight to the hands of decision-makers.
  • Use Enhanced Data: Connect to existing data sources — collect new data, augment and transform existing data, and use all data, including unstructured data.
  • See It In Action: The vendor offers either a personalized demo of the tool upon request or a weekly group demo.
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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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  • Data Connectivity: Collect structured, semi- and unstructured data alike to ensure holistic visibility.
  • Data Transformation: Simplify data preparation through simple data ingestion and loading, as well as hundreds of built-in API-enabled transformations, reducing the need for cumbersome, time-consuming ETL processes. Leverages AI and ML to automatically profile, enhance and augment data through AWS.
  • Data Visualization: Build interactive charts, reports, metrics and dashboards with point-and-click ease. Dig deeper with drill-downs, filters and additional actions. Create dashboards that offer a snapshot of different KPIs and critical data points in the form of panels. Facilitate interactions through drill-downs, filters, scaling, tooltips, zooming and touch events.
  • Sharing: Share and disseminate relevant information using the Report Builder. Create multi-page and multi-tab reports with built-in data security and interactivity.
  • Analytics Builder: Create stand-alone or embeddable analytics applications.
  • Access Controls: Ensure complete control of data and who can see it through granular, managed access controls.
  • Automate Workflows: Leverage a self-service workflow builder to automate everyday tasks. Set conditional triggers and rules to track data changes. Receive notifications and alerts via email, SMS or Slack.
  • Embedded Analytics: Embed all analytics features, including interactive dashboards, reporting, data analysis and more. Configure workflow actions and offer a white label experience with full visual customization and responsive design for all devices.
  • Data Security: Leverage a full suite of tools and capabilities to keep data safe and secure, including single sign-on, rules and permissions for data, users and applications, and more.
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Product Ranking

#13

among all
Embedded Analytics Tools

#15

among all
Embedded Analytics Tools

Find out who the leaders are

Analyst Rating Summary

79
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89
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96
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76
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Security
Embeddability
Embedded Reporting
Embeddability
Security
Embedded Data Visualization
Embedded Reporting
Data Management

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Jaspersoft
Qrvey
+ Add Product + Add Product
Data Management Embeddability Embedded Analytics Embedded Data Visualization Embedded Reporting Mobile Capabilities Platform Capabilities 78 89 73 82 85 69 80 89 96 76 91 91 52 86 0 25 50 75 100
71%
29%
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86%
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14%
80%
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100%
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63%
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37%
85%
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15%
92%
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8%
89%
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11%
89%
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80%
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60%
83%
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17%
83%
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17%

Analyst Ratings for Technical Requirements Customize This Data Customize This Data

50%
46%
4%
62%
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38%
100%
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86%
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User Sentiment Summary

Great User Sentiment 495 reviews
Excellent User Sentiment 19 reviews
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.

96%
of users recommend this product

Qrvey has a 'excellent' User Satisfaction Rating of 96% when considering 19 user reviews from 5 recognized software review sites.

4.0 (105)
5.0 (7)
n/a
4.75 (4)
4.3 (27)
4.8 (4)
4.2 (89)
4.0 (1)
4.0 (274)
4.7 (3)

Awards

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

User Favorite Award

Synopsis of User Ratings and Reviews

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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Embedded Analytics Made Easy: Qrvey simplifies embedding analytics into existing applications, allowing developers to focus on core product development instead of getting bogged down with complex analytics integrations.
No-Code/Low-Code Flexibility: Qrvey caters to both technical and non-technical users. Its intuitive drag-and-drop interface empowers users to build interactive dashboards and reports without writing a single line of code, while still providing advanced scripting capabilities for developers who need them.
Seamless Data Integration: Qrvey connects to a wide range of data sources, from databases and spreadsheets to cloud services and APIs, making it easy to centralize data and gain a holistic view of your business.
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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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Limited Customization: Users have expressed frustration with the platform's limited ability to customize the look and feel of embedded dashboards, making it challenging to seamlessly integrate them into existing applications.
Steep Learning Curve: Some users have reported that Qrvey's interface and features can be complex to grasp initially, requiring significant time and effort to become proficient.
Performance Issues: There have been instances where users have encountered performance bottlenecks, particularly when dealing with large datasets or complex queries, leading to slow loading times and a less than ideal user experience.
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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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User reviews from the past year paint a mixed picture of Qrvey. While many appreciate its intuitive drag-and-drop interface, robust data visualization capabilities, and seamless integration with existing applications, some users have expressed concerns about its pricing model and occasional performance hiccups. Qrvey shines when it comes to its no-code approach, allowing users to build complex analytics dashboards without writing a single line of code. This is particularly valuable for businesses that lack dedicated data science teams, as it empowers non-technical users to generate insights independently. However, some users have noted that Qrvey's pricing, which is based on data volume, can become prohibitive for organizations dealing with large datasets. Additionally, while generally praised for its performance, some users have reported occasional slowdowns, particularly when handling complex queries or large datasets. Qrvey's strength lies in its ability to democratize data analytics, making it accessible to a wider audience within an organization. Its no-code platform and intuitive design make it ideal for businesses looking to empower non-technical users to explore data and generate insights. However, organizations dealing with massive datasets might find its pricing structure less appealing, and occasional performance issues might require some patience.

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