The Difference is Clear
Domo was not designed for embedded or distributed analytics use cases. The company licenses on a per-user basis and as a SaaS offering, Domo customers do not have control of their data or infrastructure. This makes scalability and exporting data a challenge. Domo is also a traditional analytics player that is focused primarily on reports, metrics and dashboards. It includes no built-in data collection and limited automation and machine learning capabilities.
|Fully Elastic / Auto Scaling|
|Dashboards and Visualizations|
|AI & ML|
|Automation & Workflows|
5 Key Ways Qrvey Beats Domo
Domo is offered as a cloud-based SaaS service, however it is not built on a modern, cloud-native architecture. This is problematic because it limits Domo’s ability to effectively scale to meet the demands of larger datasets and user loads. As a SaaS offering, Domo does not offer any performance settings, leaving customers at the mercy of the platform’s overall performance. Click to learn more about the importance of being cloud-native versus just being “in the cloud”.
Qrvey is Cloud-Native
Qrvey is a 100% cloud-native platform that is deployed into your existing AWS cloud account. This provides maximum flexibility and efficiency while ensuring that you’re always in control of your data and infrastructure. With a microservices-based architecture, Qrvey allows users to access services from text, document and image analytics to natural language processing and machine learning without writing a single line of code. Qrvey can quickly and cost-effectively scale as needed because of our serverless architecture.
Focused on Data Visualizations
Domo is a traditional BI platform that offers tools to connect to existing datasets and build visualizations such as charts, reports, metrics and dashboards. It does not include tools for the rest of your data pipeline including data collection, transformation, automation and machine learning.
Qrvey is an All-in-One Platform
Qrvey is an all-in-one analytics platform that includes your entire data pipeline, from data collection and transformation to analysis, visualization, automation and ultimately, actions. It also integrates AI/ML capabilities throughout the platform. Qrvey allows non-technical users to build robust data and analytics applications for in-house, self-service, embedded or distributed use cases.
Winner: Qrvey (by a mile)
3. AI/ML Capabilities
AI/ML is not Pervasive
Domo includes AI-assisted forecasting capabilities, however AI/ML functionality is still not pervasive throughout its platform. Despite being hosted in the cloud, Domo does not take advantage of the many AI/ML cloud services available.
AWS has been at the forefront of AI/ML and Qrvey continually leverages these capabilities throughout its platform. New data is automatically profiled to provide text recognition, object detection, keyphrases and sentiment analysis. Qrvey also integrates with AWS Sagemaker for advanced user-defined ML modeling.
Not Designed for Embedded
While Domo offers some embeddable features, it was not designed for embedded use cases and doesn’t offer a unified embedded experience that can be centrally managers with the tools software companies require.
Embedded is in Our DNA
Embedded analytics is not just a feature set, it’s a mindset. Qrvey offers pricing and licensing that caters to the needs of software companies and offers roadmap visibility and an experienced team with decades of experience making embedded analytics successful.
Licensing is not Embedded-Friendly
Domo only offers a traditional BI licensing model based on the number of users. It is not suited for embedded or distributed use cases that have large and dynamic user bases.
Qrvey Includes Unlimited Users
Qrvey was built from the ground up with a B2B mindset. It includes robust APIs and pre-built UI widgets for white-labeling and embedded use cases. And Qrvey is packaged and licensed with the experience, support and guidance you need.