Embedded Analytics Requires Data Management
Scalable Embedded Analytics Starts with Data
Differentiate the user experience by ingesting any type of data and offer flexible data models per tenant.
Support for Multi-Tenant Data Models
With a built-in data layer made for SaaS applications, Qrvey gives you the flexibility to offer data models that vary by tenant.
Built-In Data Warehouse and ETL
Qrvey’s embedded analytics solution includes a built-in data warehouse with ETL specifically built for analytics use cases.
All Data Types
Ingest any type of data to deliver unique analytics experiences with support for SQL, NoSQL and unstructured data sources.
AI & ML
Embedded Analytics With AI
Qrvey has tapped into the AI/ML capabilities of AWS to offer advanced text analytics, photo image recognition, forecasting, custom modeling and more to offer within your SaaS application.
Advanced Text Analytics
Ingest documents and audio to extract metadata, keywords, key phrases, names, places, entities and even sentiment
Use state-of-the-art algorithms to predict future data based on historical data; no machine learning experience required
Build, train, and deploy ML models quickly. Qrvey provides the tools required for every step of the ML development lifecycle
Add image and video analysis to your applications using proven, highly scalable, deep learning technology