Keen IO vs. Qrvey

To run more visual, analytical models, it is great. Leave the statistics to your other programs.

Incentivized

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

• It has been great for configuring and representing data trends for our own company as well as our clients.
• It is very helpful for viewing and understanding trends within our own datasets without being too overwhelming
• The user interface is very streamlined and doesn't take too long to learn so there isn't a lot of time wasted.

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

• Cost is a little much for something we could do in house, given, it would take us much longer
• Would be better to be more compatible with other analytical software
• Could improve on code editing capabilities

Incentivized

• 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

They have minor similarities, so they are not easily comparable. Keen is one of a kind and does not have a great alternative. It just needs a little work and developers will be addicted to it.

Incentivized

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

Incentivized