Qrvey

Embedded Analytics for SaaS, Build Less. Deliver More.

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Qrvey is the only solution for embedded analytics with an enterprise grade data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.

Analytics

Note: We are in the process of evaluating platforms based on our Core Criteria, Extended Criteria, and Code AI Criteria. The ratings for these categories will be published soon.

Core Criteria

Complexity Management

Cost Efficiency

Customization Flexibility

Integration Capability

Interoperability

Legacy Modernization

Scalability

Cloud Vendor Lock-In

Deployment Control

Rapid Prototyping

Feature Extensibility

UI Visual Development

Workflow Automation

Security Features

Time-to-Market

Extended Criteria

Ecosystem Compatibility

hpaPaaS Vendor Neutrality

Development Speed

No-code Database Support

Component Library Support

AI Performance and Usability

AI Customization and Ethics

Platform Support by Agencies or ISVs

Code AI Criteria

Code Quality

Code Performance

Generated Code Customizability

AI-Assisted Debugging

Code Generation Accuracy

Code Efficiency

Code Readability

Error Rate in Generated Code

Code Security

Qrvey

Features
Multifaceted Product Suite: Qrvey is not limited to only analytics, it provides a suite of tools for all data collection, automation and analytic needs. Self-Service Analysis: They enable users to do more with their data by providing easy-to-use, self-service analysis. Non-Reliance on SQL: There is no need for knowledge or reliance on SQL or other technical skills in order to extract value from data with Qrvey. Variety of Data Handling: Qrvey can handle all types of data including structured, semi-structured, and unstructured, as well as software usage data. Enhanced Scalability: Qrvey provides extensive scalability and performance capabilities and is built on AWS for reliability and speed. High Data Flexibility: Qrvey allows users to bring their own data of any variety, velocity and volume. Robust Integration: They offer robust integration capabilities with other systems and data sources. Built for Enterprises: Qrvey is developed with specific needs of SaaS providers and enterprises in mind. Secure Platform: They ensure a secure system for data analysis with stringent data security and privacy protections. Powerful Visualization: With Qrvey users can create rich, interactive visuals, reports and dashboards. Machine Learning and AI: Qrvey offers Machine Learning as a service, with no coding required, turning data into insights and actions. Advanced Automation: Provides advanced automation services by leveraging data triggers, scheduling or actions for end-to-end automation process. Augmented Analytics: Qrvey uses machine learning and artificial intelligence to augment its analysis capabilities. Microservices Architecture: Qrvey is based on a microservices architecture which increases its adaptability and flexibility. Real-time Analytics: It supports real-time analytics to give users instant insights and enable faster decision-making. Cloud-Based Platform: Qrvey is a completely cloud-based platform, removing the need for in-house servers and storage. Flexible Pricing: They offer flexible pricing options to cater to businesses of all sizes. Market Research Tools: Qrvey also offers effective tools for online surveys, forms, interactive quizzes, and more, making it useful for conducting market research.

Features

Multifaceted Product Suite: Qrvey is not limited to only analytics, it provides a suite of tools for all data collection, automation and analytic needs.
Self-Service Analysis: They enable users to do more with their data by providing easy-to-use, self-service analysis.
Non-Reliance on SQL: There is no need for knowledge or reliance on SQL or other technical skills in order to extract value from data with Qrvey.
Variety of Data Handling: Qrvey can handle all types of data including structured, semi-structured, and unstructured, as well as software usage data.
Enhanced Scalability: Qrvey provides extensive scalability and performance capabilities and is built on AWS for reliability and speed.
High Data Flexibility: Qrvey allows users to bring their own data of any variety, velocity and volume.
Robust Integration: They offer robust integration capabilities with other systems and data sources.
Built for Enterprises: Qrvey is developed with specific needs of SaaS providers and enterprises in mind.
Secure Platform: They ensure a secure system for data analysis with stringent data security and privacy protections.
Powerful Visualization: With Qrvey users can create rich, interactive visuals, reports and dashboards.
Machine Learning and AI: Qrvey offers Machine Learning as a service, with no coding required, turning data into insights and actions.
Advanced Automation: Provides advanced automation services by leveraging data triggers, scheduling or actions for end-to-end automation process.
Augmented Analytics: Qrvey uses machine learning and artificial intelligence to augment its analysis capabilities.
Microservices Architecture: Qrvey is based on a microservices architecture which increases its adaptability and flexibility.
Real-time Analytics: It supports real-time analytics to give users instant insights and enable faster decision-making.
Cloud-Based Platform: Qrvey is a completely cloud-based platform, removing the need for in-house servers and storage.
Flexible Pricing: They offer flexible pricing options to cater to businesses of all sizes.
Market Research Tools: Qrvey also offers effective tools for online surveys, forms, interactive quizzes, and more, making it useful for conducting market research.

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Qrvey

Embedded Analytics for SaaS, Build Less. Deliver More.

Core Criteria

Extended Criteria

Code AI Criteria

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Notes

Qrvey