DataBrain vs. Qrvey

Qrvey is an excellent solution for AWS-based customers looking to add embedded analytics functionality. It is cloud-native and good at scaling. There are BI solutions with greater depth in particular areas (chart types, custom metrics), but Qrvey has an unmatched level of customizability for embedded use cases. Many APIs are also exposed and documented, making them easy to integrate into a data ecosystem.

Incentivized

• The platform deploys to our AWS instance which gave us the ability to manage ourselves
• The feature of easily embedding visualizations into other applications
• The powerful features like workflow automation

• Merges between heterogenous datasets can occasionally be problematic
• The dashboards/pages are already very powerful, but more interactive elements would always be welcome.
• The administration of a Qrvey instance and underlying datastore can sometimes be complex, but the Admin app helps make this a smooth process.

Incentivized

• In one implementation, Qrvey helped our customer quickly achieve feature parity with competitors, reducing churn.

Incentivized