Qrvey
Qrvey is a multi-tenant analytics platform designed specifically for SaaS companies to embed white-label dashboards, self-service reporting, and data automation directly into their own software applications.
SAS Viya
SAS Viya is a cloud-native data management and analytics platform that helps you build, deploy, and manage artificial intelligence and machine learning models to solve complex business problems efficiently.
Quick Comparison
| Feature | Qrvey | SAS Viya |
|---|---|---|
| Website | qrvey.com | sas.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✘ No free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2015 | 1976 |
| Headquarters | Tysons, USA | Cary, USA |
Overview
Qrvey
Qrvey is an embedded analytics solution built specifically for SaaS companies that need to offer powerful reporting to their own customers. Instead of building a custom analytics engine from scratch, you can integrate this platform to provide white-labeled dashboards, data visualizations, and automated workflows directly within your application. It handles the entire data pipeline from ingestion and transformation to visualization, allowing your engineering team to focus on core product features rather than complex BI infrastructure.
You can connect to various data sources, including NoSQL databases like MongoDB and relational systems, to create a unified data layer. The platform is designed for multi-tenant environments, ensuring that each of your customers only sees their own data while enjoying a seamless, native-feeling experience. By using its serverless architecture on AWS, you can scale your analytics capabilities automatically as your user base grows without managing backend servers.
SAS Viya
SAS Viya is a cloud-native analytics platform designed to help you manage the entire data lifecycle in one place. You can move from raw data to production-ready AI models using a unified interface that supports both visual drag-and-drop tools and popular programming languages like Python and R. This flexibility allows your data scientists and business analysts to collaborate effectively on the same projects.
The platform handles massive datasets with ease thanks to its distributed, in-memory processing engine. You can deploy it on any cloud provider or on-premises environment to maintain control over your infrastructure. By automating repetitive data preparation and model tuning tasks, you can focus on uncovering insights that drive better business decisions and operational efficiency across your entire organization.
Overview
Qrvey Features
- White-Label Dashboards Customize the look and feel of your analytics to match your brand perfectly for a native user experience.
- Self-Service Reporting Give your users the power to create their own custom reports and charts without needing technical support.
- Multi-Tenant Security Manage complex data permissions easily to ensure your customers only access their specific datasets securely.
- Data Automation Trigger automated actions and alerts based on data changes to help your users respond to insights instantly.
- Embedded Data Lake Unify data from multiple sources into a high-performance layer optimized specifically for fast analytical queries.
- Serverless Architecture Scale your analytics automatically on AWS infrastructure to handle spikes in usage without manual intervention.
SAS Viya Features
- Visual Data Preparation. Clean and transform your data using an intuitive visual interface that automatically generates code in the background.
- Automated Machine Learning. Build high-quality models faster by letting the system automatically handle feature engineering, algorithm selection, and hyperparameter tuning.
- Model Management. Register, track, and monitor all your analytical models in a central repository to ensure they perform reliably over time.
- Open Language Support. Write code in Python, R, or Lua while still taking advantage of the platform's powerful distributed processing capabilities.
- Real-Time Decisioning. Embed your analytical models directly into business processes to trigger automated actions and responses the moment data arrives.
- Natural Language Generation. Receive automated text explanations of your data visualizations so you can understand the 'why' behind your business trends.
Pricing Comparison
Qrvey Pricing
SAS Viya Pricing
Pros & Cons
Qrvey
Pros
- Built specifically for multi-tenant SaaS requirements
- Eliminates the need to build complex internal BI
- Handles unstructured data better than traditional BI tools
- Predictable pricing model doesn't charge per end-user
Cons
- Requires AWS environment for optimal deployment
- Initial technical setup requires dedicated engineering resources
- Documentation can be dense for non-technical users
SAS Viya
Pros
- Handles extremely large datasets with high performance
- Unified environment for both coding and visual users
- Strong governance features for regulated industries
- Excellent technical support and extensive documentation
- Seamless integration with major cloud providers
Cons
- Higher price point compared to open-source alternatives
- Significant learning curve for the full feature set
- Initial setup and configuration can be complex