Qrvey Reviews & Pricing
What is Qrvey?
Industry Specialties: Serves all industries.
Qrvey Pricing
Based on our most recent analysis, Qrvey pricing starts at $5,000 (Monthly).
- Price
- $$$$$
- 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:
- Phone
- Chat
- FAQ
- Forum
- Help Desk
- Knowledge Base
- Tickets
- Training
- 24/7 Live Support
Qrvey Benefits and Insights
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
Qrvey Reviews
Based on our most recent analysis, Qrvey reviews indicate a 'excellent' User Satisfaction Rating of 96% based on 19 user reviews from 5 recognized software review sites.
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
Cons
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.