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Qrvey review

A deeply embedded BI platform for multi-tenant SaaS analytics.

6.0/10Editor score
Qrvey6.0 Visit Qrvey

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Qrvey is an embedded business intelligence platform for SaaS companies that need analytics inside their own web applications. It supports self-service dashboards, reports, visualizations, semantic modeling, workflow automation, and natural-language analytics with AI assistants and agents. JavaScript widgets and APIs support embedded experiences, while tenant-aware controls are designed for multi-tenant products. Deployment is available in customer cloud environments through web, API, and self-hosted options.

Qrvey Pro includes embedded dashboards and reporting, no-code workflow automation, and support for teams with an analytics-ready database. Qrvey Ultra adds a built-in data engine, a data transformation layer, and analytics from any data source. Both plans require a pricing request, and there is no free plan. The platform connects with PostgreSQL, Snowflake, Amazon S3, MongoDB, Azure Blob Storage, REST APIs, Redshift, Databricks, MySQL, and SQL Server. This plan structure fits teams that need to compare an existing analytics-ready stack with a more complete data foundation.

Its strongest differentiator is breadth across embedded analytics operations: configurable pipelines with joins, unions, and transformations; a semantic layer for business metrics and hierarchies; pixel-perfect reporting; scheduled exports; alerts and actions; automated deployment across environments; and multi-tenant row-, column-, object-, and asset-level security. Live Connect queries supported external databases at runtime, while managed datasets use scheduled synchronization. Qrvey suits product teams building a controlled analytics layer into a SaaS product. Teams seeking a small, standalone dashboard tool or transparent self-serve pricing should consider a narrower alternative.

Qrvey pros and cons

  • Where it wins
    • Multi-tenant security across row, column, object, and asset levels
    • Embedded dashboards, reports, automation, and AI-assisted analytics
    • Pipelines, semantic metrics, and live external database querying
  • Where it doesn't
    • Pricing requires a request and no free plan is offered
    • Real-time querying applies to Live Connect datasets
    • Broad functionality may exceed the needs of simple dashboard projects

Qrvey fact sheet, pricing and score →

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