Used For

• +**Your customers export data to Excel every week to build reports** → They build interactive dashboards right inside your product, never leave your app
• +**Support tickets asking 'can you run this report for me' are drowning your team** → Self-service dashboard builder lets customers create their own reports without bothering you
• +**Your basic charts look amateur next to competitors** → White-labeled analytics that match your brand and handle millions of rows in real-time
• +Processes hundreds of millions of records in seconds - doesn't choke on enterprise data volumes
• +Deploys into your AWS environment instead of sending customer data to third-party servers

Best For

• >Your SaaS customers keep asking for reporting features and building custom dashboards would eat 6 months of engineering time
• >You're losing deals because competitors have better analytics and you're stuck with basic charts
• >Hit 50+ employees with actual data engineers - this isn't a weekend project for your full-stack developer

Not For

• -Teams under 20 people - you're paying enterprise complexity for features that'll take months to implement properly
• -Anyone not already on AWS - this adds cloud vendor lock-in and integration headaches if you're elsewhere
• -Companies wanting plug-and-play analytics - requires CloudOps engineers, data engineers, and developers working in sequence

Pairs With

• *AWS (runs entirely on their infrastructure - S3, Lambda, DynamoDB - so you're committed to the ecosystem)
• *dbt (handles data transformation while Qrvey focuses on visualization and customer-facing dashboards)
• *Your SSO provider (integrates with existing authentication so customers don't need separate logins)
• *PostgreSQL or Redshift (connects to your existing data warehouse as the source of truth)
• *Stripe or your billing system (to gate analytics features behind different pricing tiers)

The Catch

• !No pricing listed anywhere - always a red flag that means 'enterprise expensive' and long sales cycles
• !Requires a specific 4-step implementation workflow across different technical roles, so coordination overhead is real
• !AWS-only deployment means you're locked into their cloud ecosystem whether you like it or not

Bottom Line

Turns your SaaS into a mini-Tableau for customers, but you'll need a small army of engineers to set it up.