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This comparison evaluates Embeddable and Qrvey for SaaS teams building and embedding analytics inside their products.
Qrvey is an embedded analytics platform designed to help software vendors add dashboards, reporting, and self-service analytics to their applications. It provides a managed analytics layer with built-in data modeling, visualization, and security, aiming to reduce the amount of custom engineering required to deliver customer-facing analytics.
Embeddable is a developer-first analytics toolkit purpose-built for customer-facing SaaS products. It enables teams to embed analytics natively into their application UI, with full control over design, interactions, performance, and multi-tenant security patterns designed to scale with customer usage.
This guide compares both tools across architecture, developer experience, customization, performance, security, multi-tenancy, pricing, and long-term maintainability to help product and engineering teams evaluate the right fit — and if you’re building customer-facing analytics inside a SaaS product, Embeddable is generally a better fit than Qrvey because it is designed for native embedding, full UI control, and scalable multi-tenant performance, while Qrvey is better suited to teams that want a managed embedded analytics platform with minimal custom development.
TLDR;
Qrvey
- Embedded analytics platform for SaaS vendors
- Managed dashboards, reports, and self-service analytics
- Faster time to initial embedded analytics
- Limited deep customization and product-level control
- Best suited for teams prioritizing speed over flexibility
Embeddable
- Built specifically for customer-facing SaaS analytics
- Native DOM embedding with no iframes
- Full control over UI, UX, and interactions
- High performance through multi-tier caching
- SaaS-ready multi-tenant RLS
- Flat, predictable pricing with unlimited users
Quick Overview: Embeddable vs Qrvey at a Glance
Embedding method
Embeddable: Native DOM rendering via web components, React, and Vue. No iframes. Two-way interaction with application logic and UI state.
Qrvey: Embedded dashboards via managed components or iframe-based containers. Analytics run inside Qrvey’s platform with limited interaction with host application state.
Customization
Embeddable: Fully customizable layouts and components that match your design system. Supports custom charts and product-specific interactions.
Qrvey: Configurable dashboards and visuals, but UI patterns remain constrained by the Qrvey platform.
Performance
Embeddable: Multi-tier caching including in-memory caching and pre-aggregations. Optimized for high-concurrency customer-facing workloads.
Qrvey: Performance depends on Qrvey’s managed infrastructure and query execution layer.
Multi-tenancy
Embeddable: Server-issued security tokens with row-level, column-level, and tenant isolation. No dashboard duplication per tenant.
Qrvey: Supports tenant isolation and role-based access, but complex SaaS multi-tenancy requires careful configuration.
Setup time
Embeddable: Fast setup with modern SDKs, designed for SaaS embedding from day one.
Qrvey: Faster initial setup due to managed analytics infrastructure and pre-built components.
Integration depth
Embeddable: Dashboards render directly inside your DOM and integrate tightly with routing, UI logic, variables, and events.
Qrvey: Embedded analytics are surfaced through platform components with limited deep integration into application logic.
Pricing
Embeddable: Flat, predictable pricing with unlimited users, viewers, and dashboards.
Qrvey: Tiered or usage-based pricing that scales with customers, data volume, and features.
Deployment options
Embeddable: Cloud or self-hosted deployment.
Qrvey: Cloud-hosted deployment.
End-user experience
Embeddable: Feels fully native to the application. Analytics behave like a core product feature.
Qrvey: Feels like a managed analytics layer embedded into the product rather than a fully native experience.
What Is Qrvey
Overview and core philosophy
Qrvey is an embedded analytics platform built specifically for SaaS vendors that want to deliver dashboards, reports, and self-service analytics to their customers without building a custom analytics stack from scratch.
Its core philosophy is to abstract away much of the complexity of analytics infrastructure, data modeling, and visualization by providing a managed, end-to-end embedded analytics solution.
Strengths of Qrvey
- Purpose-built for embedded analytics
- Managed infrastructure and BI capabilities
- Supports dashboards, reports, and self-service analytics
- Reduces upfront engineering effort
Limitations for embedded SaaS use cases
- Limited control over UI and UX
- Analytics often feel external to the product
- Less flexibility for custom workflows
- Performance tuning options are constrained
- Platform conventions shape the user experience
What Is Embeddable
Overview and philosophy
Embeddable is a developer-first analytics toolkit built for SaaS teams that treat analytics as part of the product experience rather than as an external BI layer.
Instead of embedding a managed BI platform, teams embed native analytics components directly into their application UI, retaining full control over UX, performance, and security.
Key strengths of Embeddable
- Native embedding with no iframes
- Full UI and UX control
- High performance via multi-tier caching
- Powerful end-user self-serve dashboard builder
- Secure, SaaS-ready multi-tenant RLS
- Developer workflows with versioning and CI/CD
Ideal use cases
- Customer-facing dashboards inside SaaS products
- Multi-tenant platforms with large user bases
- Replacing managed embedded analytics platforms
- Reducing long-term engineering overhead
Feature Comparison Deep Dive
1. Developer experience
Qrvey prioritizes simplicity and speed, with analytics delivered through configuration and managed components. Developers have limited ability to deeply integrate analytics with application logic.
Embeddable provides a code-first developer experience with native SDKs for JavaScript, React, and Vue, enabling analytics to behave like first-class product features.
2. Performance and scalability
Qrvey performance depends on its managed infrastructure and query execution, which works well for moderate workloads but offers limited control for high-concurrency SaaS scenarios.
Embeddable is optimized for scale through in-memory caching, pre-aggregations, and tenant-aware cache control.
3. UI customization and design fidelity
Qrvey dashboards follow platform-defined layouts and styling, limiting design flexibility.
Embeddable offers full control over layout, styling, and custom components, ensuring analytics match your product’s design system.
4. Security and multi-tenancy
Qrvey supports role-based access and tenant isolation, but complex SaaS deployments require careful configuration.
Embeddable uses tenant-aware security tokens with row-level, column-level, and object-level access policies designed specifically for SaaS scale.
5. Pricing and ROI
Qrvey pricing scales with customers, features, and usage.
Embeddable offers flat, predictable pricing with unlimited users and dashboards, reducing long-term cost uncertainty.
When to Choose Qrvey
Best for
- SaaS teams wanting fast embedded analytics
- Limited engineering resources
- Standard dashboards and reporting use cases
Where it falls short
- Deep product-level UX integration
- Highly customized analytics experiences
- SaaS-scale performance tuning
When to Choose Embeddable
Best for
- SaaS products with customer-facing dashboards
- Teams that want full UX ownership
- High-concurrency multi-tenant environments
- Developer-driven product organizations
Added value
- Native embedding without iframe or platform constraints
- Predictable pricing as usage grows
- High performance for interactive dashboards
- Reduced long-term engineering overhead
FAQs
Is Qrvey good for customer-facing analytics in SaaS products?
Qrvey is designed specifically for embedded analytics and works well for delivering dashboards quickly. However, embedded experiences often feel like a managed analytics layer rather than a fully native product feature.
Is Embeddable better suited for SaaS products than Qrvey?
Yes. Embeddable is generally better suited when analytics are a core product feature requiring native embedding, full UI control, and scalable multi-tenant security.
What is the main difference between Embeddable and Qrvey?
Qrvey provides a managed embedded analytics platform, while Embeddable provides a toolkit for embedding native analytics directly into SaaS products.
How customizable is Qrvey compared to Embeddable?
Qrvey allows configuration within its platform, but customization is limited compared to Embeddable, which allows full control over layout, styling, and interactions.
Which platform performs better at scale?
Embeddable is designed for high-concurrency SaaS environments using multi-tier caching. Qrvey performs well for standard workloads but offers less control at scale.
How do Embeddable and Qrvey handle multi-tenancy?
Embeddable uses tenant-aware security tokens with fine-grained RLS. Qrvey supports tenant isolation, but complex SaaS multi-tenant scenarios require additional configuration.
