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#15

Qrvey is ranked #15 in the Embedded Analytics Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

Qrvey Pricing

Based on our most recent analysis, Qrvey pricing starts at $5,000 (Monthly).

Price
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Starting From
$5,000
Pricing Model
Monthly
Free Trial
Yes, Request for Free

Training Resources

Qrvey is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Qrvey:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Qrvey Benefits and Insights

Why use Qrvey?

Key differentiators & advantages of Qrvey

  • 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.

Industry Expertise

Serves industries like advertising, consulting, finance, healthcare, logistics, cybersecurity and more.

Qrvey Reviews

Average customer reviews & user sentiment summary for Qrvey:

User satisfaction level icon: excellent

19 reviews

96%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of Qrvey reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

  • 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.

Cons

  • 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.

Researcher's Summary:

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.

Key Features

  • 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.

Suite Support

Qrvey offers three tiers of support packages: Standard, Team and Enterprise. Standard Support, included with every subscription purchase, provides access to online documentation and email support. Team Support offers access to the technical support team via the vendor’s help desk system. Enterprise Support, required for all Enterprise license packages, provides comprehensive support via a dedicated Slack channel and an account on the vendor’s help desk system for issue tracking.

Support issues are categorized into four priority levels to ensure customers get the time and attention necessary. Response times vary from one business hour to three business days. There is no SLA for Standard Support subscribers. Team Support hours are 9 a.m. to 6 p.m. EST, M — F, while Enterprise Support hours are 9 a.m. to 9 p.m. EST M — F. These hours exclude U.S. holidays and include support for up to three designated points of contact.

mail_outlineEmail: Email [email protected].
phonePhone: Unavailable.
schoolTraining: Access a searchable knowledge base of documentation, tutorials, videos and FAQs by logging in to the Partner Portal. There are dedicated resources for developers, administrators and end-users respectively. Additionally, how-to videos, webinars and ebooks are available publicly through the vendor’s homepage.
local_offerTickets: Create a support case through the Partner Portal.
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