Infor Birst vs Qrvey

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Our analysts compared Infor Birst 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.

Infor Birst Software Tool

Product Basics

Infor Birst is a cloud-based analytics software tool that aims to help users discover insights without the need for analyst input. It unifies IT-managed enterprise data with user-owned data, supporting the blending of both in a top-down and bottom-up manner. It uses consistent business metrics to structure raw data into organized sets and visualizations. It helps users identify patterns and better understand their organization’s KPIs.

It offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, enabling a smooth experience. It can be deployed either from the cloud or self-hosted on-premise.

Users can purchase it in three available formats: per-user fee, by department or business unit or by end-customer in embedded scenarios.

To explore other popular solutions that Infor offers, visit our Infor company page.
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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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$2,500 Monthly, Quote-based
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$5,000 Monthly
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Tailored to your specific needs
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Product Assistance

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24/7 Live Support
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Product Insights

  • Scalability on Demand: Prevents data bottlenecks caused by data loads that exceed capacity as business grows by scaling as needed through a multi-tenant architecture across a multi-node environment.
  • Faster Results: Delivers faster analytics across the entire organization by utilizing automated data analysis technology, cloud architecture and reusable metadata.
  • Data Clarity: Promote data clarity and reduce ambiguity by offering unique views into data to help everyone, regardless of technical expertise. Better understand the meaning of individual KPIs via the semantic layer, a set of shared business definitions.
  • Self-Service: Gives employees at all levels of technical skill self-service tools, such as drag-and-drop, to explore, analyze and visualize data through the user-oriented UX.
  • Informed Decisions: Make more data-driven business decisions by better understanding operations. Identify trends in business data by collecting, organizing, exploring and visualizing data.
  • Predict Future Outcomes: Generate actionable insights by leveraging AI to analyze historical data and improve business moving forward.
  • Intuitive Visualizations: Easily interpret trends by cleaning data and building understandable visualizations through machine learning.
  • Networked BI: Builds collective intelligence. Combines IT-managed enterprise data with user-generated data and eliminates data silos, unifying data from every part of an organization.
  • Certified Security: Secures data at every degree of detail, down to the row and column level. Employs strict data security protocols and procedures to protect data in  processes and data centers, which are certified for ISO27001 and SOC II, TYPE II standards and compliant with EU Safe Harbor laws.
  • Free Trial: Try it hands-on via a free trial.
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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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  • Automated Data Refinement: Automatically merge data from different sources into one user-ready data storage and optimize it for analysis. 
  • Semantic Layer: Boosts trustworthiness of data and reduces data anarchy by adding an agile semantic layer between the user and data. Work with data privately while staying connected to the network via a virtual tenant space.">
  • Real-time Access: Directly query on-premise data sources in real-time, eliminating the need to first extract and then upload data to the cloud.
  • Adaptive UX: Create reports and dashboards without coding knowledge via intuitive drag-and-drop tools. Supports different analytic styles, such as visual discovery, and mobile, and third-party tools such as Excel, R and Tableau. 
  • Reusable Rules: Automatically generates a common architecture based on a reusable set of business definitions without manual intervention.
  • Interactive Dashboards: Explore data even further via interactive dashboards that have drill-down capabilities such as lasso filters.
  • Multi-Tenant Cloud Architecture: Scales vertically and horizontally with a multi-tenant architecture built on a multi-node environment. Speeds insight generation by reducing the overall time spent on repetitive on-premise tasks. 
  • One-Click Data Connectivity: Access existing data with one click via its extensive library of pre-built connectors.
  • Embedded Analytics: Scale with clients’ businesses via flexible deployment options including embedding, APIs and localization capabilities.
  • Machine Learning: Recognizes patterns in data via Smart Analytics and automatically builds visualizations based on predictive analytics. Learns over time, and remembers previous search queries, past visualizations and more.
  • Deployment Options: Deploy as a SaaS through the cloud or go hybrid, keeping data in-house but running analytics through cloud-based servers. Or, deploy through a virtual appliance that delivers all the benefits of a traditional cloud-hosted SaaS while being locally hosted on-premise or in a private-cloud.
  • Mobile App: Access reports and dashboards via its native mobile application for iOS and Android.
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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

#12

among all
Embedded Analytics Tools

#15

among all
Embedded Analytics Tools

Find out who the leaders are

Analyst Rating Summary

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Embedded Reporting
Security
Mobile Capabilities
Data Management
Embedded Analytics
Embeddability
Security
Embedded Data Visualization
Embedded Reporting
Data Management

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Infor Birst
Qrvey
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Data Management Embeddability Embedded Analytics Embedded Data Visualization Embedded Reporting Mobile Capabilities Platform Capabilities 85 79 85 83 97 92 80 89 96 76 91 91 52 86 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

85%
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User Sentiment Summary

Great User Sentiment 560 reviews
Excellent User Sentiment 19 reviews
82%
of users recommend this product

Infor Birst has a 'great' User Satisfaction Rating of 82% when considering 560 user reviews from 6 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.

4.3 (7)
n/a
3.9 (92)
5.0 (7)
4.08 (49)
4.75 (4)
4.1 (50)
4.8 (4)
4.1 (176)
4.0 (1)
4.2 (186)
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

Data Integration: About 80% of users who mentioned its data integration capabilities said that the platform, powered by built-in connectivity tools, connected well to many types of data sources.
Data Visualization: Approximately 81% of users who reviewed visualization said that the tool provided attractive and intuitive data presentation options for at-a-glance data analysis and trend charting.
Ease of Use: The platform was user-friendly and intuitive, according to around 77% of users who reviewed the interface.
Functionality: Approximately 68% of users who reviewed functionality said that the platform provided strong capabilities to streamline preparation and consumption of data for developers and end users alike.
Data Management: Automated data warehouse creation made data modeling a breeze, around 65% of users who reviewed the platform’s data management system said.
Setup: Around 69% of users who mentioned implementation said that the solution being cloud-based, coupled with excellent onboarding support from the vendor, made deployment easy.
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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: Approximately 87% of users who reviewed the platform’s performance said that it was slow and inconsistent in data processing and data refresh.
Learning Curve: About 81% of users who mentioned the learning curve said that documentation was often insufficient and incorrect, and that the platform’s use of proprietary language made the learning curve quite steep.
Service and Support: About 46% of users who reviewed this feature said that support was poor and turnaround times were painfully long, extending up to several months.
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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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Infor Birst is an integrated cloud-based end-to-end solution for sourcing raw data, and extracting, warehousing and reporting for enterprise data analysis. With built-in tools for data integration and strong embedded analytics capabilities, users leverage its data visualization capabilities to create and share metric-specific dashboards and reports. Users who reviewed data management said that automated data warehouse creation was a strong feature of the platform, as well as its user-friendly interface. Many users who reviewed its functionality said that, equipped with a powerful ETL and efficient ODBC drivers for integration, the platform was flexible and scalable with a multitude of features for data discovery and analysis. Around 69% of users who reviewed ease of implementation said that deployment was easy with the integrated cloud platform, though some users said that the setup processes were unclear and they required in-house IT support for onboarding. On the flip side, users who mentioned performance said that the speed of data processing and data refresh was slow and this impacted report generation capabilities. Documentation was inconsistent and often incorrect, and the use of proprietary query language made the learning curve quite steep, many users who reviewed this feature said. Support turnaround times were woefully long, even extending up to several months as reported by a number of users. Some users who reviewed functionality said that the code was buggy and the platform stalled often when processing data for ad-hoc reporting. Many users complained that these bugs were not addressed for years, and new releases often impacted pre-existing features. Possibly because of its performance issues with large amounts of data, quite a few users rate it as a good BI tool for small and midsize companies that require less complex data analysis, rather than larger enterprises. In summary, Infor Birst is a BI ecosystem with a networked approach to data visualization and predictive analytics that eliminates data silos and serves as a single source of truth for enterprise data.

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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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