Built for Today’s SaaS Application Analytics Needs
Qrvey has the power, flexibility and scalability to meet the embedded analytics needs in a host of different industries and use cases. Whether you’re a developer, product manager or end user, you’ll find plenty of reasons to love using Qrvey.
Why Executives Qrvey
Choosing an analytics solution is about a lot more than just choosing the right product for your needs, it’s about choosing the right partner. That’s why executives love Qrvey. Our entire business model was designed to ensure our partners are successful with our platform. Everything from our pricing and licensing to our product roadmap is aligned with our partners’ goals.
Why Software Architects Qrvey
Software architects continually tell us that if they were going to build software from scratch, they’d build it cloud-native using microservices, just as we’ve done with Qrvey. You simply cannot match the performance, scalability and flexibility, not to mention the cost savings and efficiency of upgrading individual components rather than entire systems.
Why Product Managers Qrvey
Product managers have lots of reasons to love Qrvey! We are the only all-in-one, cloud-native analytics platform optimized solely for AWS. We give product managers a full suite of powerful tools that let them go to market faster, provide increased user satisfaction and offer unparalleled innovation while allowing them to focus on their core competency.
Why Developers Qrvey
Developers love Qrvey for our robust API and prebuilt widgets that make deploying and embedding analytics quick and easy. With Qrvey, developers have a highly customizable and extensible platform that provides all of the tools they need to put powerful self-service analytics into the hands of more users than ever before.
Why End Users Qrvey
Users love Qrvey’s well-designed self-service capabilities that makes building and using analytics easy and intuitive. Charts, reports, metrics and dashboards can all be built and used without deep knowledge of data structures or writing a single line of code. Sharing and distributing results and insights is also quick and easy.