Modern SaaS products need usage data, active-seat counts, and billing status inside the application. Building these features often requires a custom service and cache, while direct warehouse queries make page loads depend on analytical compute.
Qry serves pre-computed snapshots from its serving layer through a read-only API, keeping product traffic off the warehouse read path.
The Scenario
An email marketing platform needs to show customers a dashboard widget depicting “Emails sent this month vs. plan limit” on every page load.
The Problem
- Request Coupling: Querying an analytical warehouse on every client page load makes the product depend on warehouse execution for each request.
- Repeated Warehouse Work: Querying a data warehouse on every client page load repeats work as user traffic grows.
- Complex Caching: Building a custom microservice to cache warehouse queries in Redis is a complex engineering project that requires ongoing maintenance.
The Qry Solution
The data team publishes the SQL query once, and Qry materializes verified snapshots on a schedule or through a manual refresh.
Product developers call a read-only endpoint such as /e/acme/monthly-summary?org_id=123. The application receives the latest successful snapshot without holding warehouse credentials or waiting for live analytical work.