Embeddable vs Reveal BI: A Complete Technical Comparison for SaaS Teams

SaaS teams evaluating embedded analytics often compare tools that approach embedding from very different starting points.

Reveal BI is an embedded analytics SDK focused on rapid integration into existing applications, particularly for teams building on .NET and Java-based stacks. It provides prebuilt visual components and a traditional BI-style embedding model.

Embeddable is a developer-first analytics toolkit built specifically for customer-facing SaaS analytics, with native embedding, full UI control, and performance patterns designed for modern, multi-tenant products.

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 make an informed decision.

If you’re building customer-facing analytics inside a SaaS product, Embeddable is usually a better fit than Reveal BI because it enables native UI integration and scalable multi-tenancy. Reveal BI is better suited to traditional application embedding scenarios, particularly in .NET-focused environments.

TLDR;

Reveal BI

• Embedded analytics SDK with a focus on rapid integration.
• Strong support for .NET and Java ecosystems.
• Embedding relies on prebuilt components and iframe-style rendering.
• Limited flexibility for deep UI customization.
• Best suited for traditional application embedding scenarios.

Embeddable

• Purpose-built for customer-facing SaaS analytics.
• Native DOM embedding with no iframes.
• Full UI and interaction control.
• High performance through multi-tier caching.
• Multi-tenant RLS designed for SaaS scale.
• Flat, predictable pricing with unlimited users.

Quick Overview: Embeddable vs Reveal BI at a Glance

Embedding method

Embeddable

• Native DOM rendering via web components, React, and Vue.
• No iframes.
• Two-way interaction with your application logic and UI state.
  

Reveal BI

• Embedding via SDK-provided components.
• Dashboards rendered inside a managed BI container.
• Limited interaction outside exposed APIs.
  

Customization

Embeddable

• Fully customizable layouts and components.
• Matches your design system exactly.
• Supports custom charts and product-specific interactions.
  

Reveal BI

• Configuration-driven customization.
• Visuals and layouts remain Reveal-defined.
• Hard to achieve pixel-perfect product parity.

Performance

Embeddable

• Multi-tier caching including in-memory caching and pre-aggregations.
• Designed for high concurrency customer-facing analytics.

Reveal BI

• Performance depends on underlying data sources and SDK rendering.
• Less control over query optimization and caching strategies.

Multi-tenancy

Embeddable

• Server-issued security tokens.
• Row-level, column-level, and tenant isolation built in.
• No dashboard duplication per tenant.

Reveal BI

• Supports user-based filtering and data permissions.
• Multi-tenant setups often require duplicated dashboards or logic.
• Operational complexity increases as tenant count grows.
  

Setup time

Embeddable

• Fast setup with minimal infrastructure.
• Designed for embedding from day one.

Reveal BI

• Quick initial integration via SDKs.
• Additional effort required for complex SaaS scenarios.

Integration depth

Embeddable

• Dashboards render directly inside your DOM.
• Tight integration with routing, UI logic, and application state.

Reveal BI

• Dashboards embedded through SDK views or components.
• Interaction limited to exposed SDK hooks.

Pricing

Embeddable

• Flat, predictable pricing.
• Unlimited users, viewers, and dashboards.

Reveal BI

• Commercial licensing based on deployment and usage.
• Costs scale as embedded analytics usage grows.

Deployment options

Embeddable

• Cloud or self-hosted.

Reveal BI

• Cloud or self-hosted depending on implementation.

End-user experience

Embeddable

• Feels fully native to your application.
• Analytics behave like part of the product.
  

Reveal BI

• Feels like an embedded BI layer within the app.
• UX reflects BI tooling more than product-specific design.
  

What Is Reveal BI

Overview and core philosophy

Reveal BI is an embedded analytics SDK designed to help application developers add dashboards and reporting quickly. It provides a set of prebuilt visual components that can be integrated into applications using supported frameworks, with a strong presence in .NET and Java environments.

The platform focuses on reducing time to integration rather than offering deep customization or SaaS-native analytics patterns.

Strengths of Reveal BI

• Fast integration through SDKs.
• Familiar BI-style components.
• Good fit for traditional application architectures.
• Flexible deployment options.

Limitations for embedded SaaS use cases

• UI customization is limited by SDK components.
• Analytics often feel external to the product experience.
• Performance tuning options are constrained.
• Multi-tenant SaaS setups require custom logic.
• Less suited for high-scale, customer-facing analytics.
  

What Is Embeddable

Overview and philosophy

Embeddable is a developer-first analytics toolkit built for SaaS teams that want analytics to behave like a native product feature.

Rather than embedding a BI surface, Embeddable enables teams to embed native components directly inside their application, retaining full control over UI, interactions, performance, and security.

Key strengths of Embeddable

• Native DOM embedding with no iframe boundaries.
• Full UI and UX control.
• High performance through multi-tier caching.
• Secure, scalable multi-tenant RLS.
• Developer-friendly workflows with versioning and CI/CD.
  

Ideal use cases

• Customer-facing analytics inside SaaS products.
• Products where UX consistency matters.
• Multi-tenant environments with large user bases.
• Teams replacing traditional embedded BI SDKs.
  

Feature Comparison Deep Dive

1. Developer experience

Reveal BI

• SDK-first approach for embedding dashboards.
• Limited flexibility beyond exposed APIs.
• Less alignment with modern front-end frameworks.
  

Embeddable

• Code-first approach with SDKs for JavaScript, React, and Vue.
• Full control over events, variables, and interactions.
• Versioned environments aligned with modern engineering workflows.
  

What it implies
Reveal BI prioritizes fast integration.
Embeddable prioritizes long-term product ownership and flexibility.

2. Performance and scalability

Reveal BI

• Performance tied to SDK rendering and data source efficiency.
• Limited caching control for large-scale SaaS workloads.
  

Embeddable

• In-memory caching for hot queries.
• Pre-aggregations for large datasets.
• Caching API for tenant-aware refresh strategies.
  

What it implies
Reveal BI works well for moderate usage.
Embeddable is designed for high-concurrency SaaS environments.

3. UI customization and design fidelity

Reveal BI

• Customization limited to SDK configuration.
• Dashboards retain BI-centric layout and behavior.
  

Embeddable

• Complete control over styling and layout.
• Supports custom components and charts.
• Dashboards feel like a native product feature.
  

4. Security and multi-tenancy

Reveal BI

• Supports row-level filtering and user-based access.
• Multi-tenant setups require additional application logic.
  

Embeddable

• Tenant-aware security tokens define access.
• Row-, column-, and object-level policies.
  
• No dashboard duplication required.

5. Pricing and ROI

Reveal BI

• Licensing costs grow with embedded usage.
• Predictability decreases as adoption increases.
  

Embeddable

• Flat, predictable pricing.
• Unlimited dashboards and users.

When to Choose Reveal BI

Best for

• Traditional applications needing quick embedded reporting.
• Teams working primarily in .NET or Java ecosystems.
• Simple embedded analytics use cases.
  

Where it falls short

• Deep UI customization.
• SaaS-scale multi-tenancy.
• Advanced performance optimization.
• Long-term cost predictability.
  

When to Choose Embeddable

Best for

• SaaS products where analytics are a core feature.
• Teams prioritizing UX consistency and performance.
• Multi-tenant environments at scale.
• Developer-driven product organizations.
  

Added value

• Native rendering without iframe limitations.
• Predictable pricing as usage grows.
• High performance for interactive dashboards.
• Lower long-term engineering overhead.

Closing perspective

Reveal BI is a solid option for teams that want to embed analytics quickly into traditional applications using a familiar SDK-based approach. It works best when analytics are an extension of the application rather than a defining product feature.

Embeddable is better suited for SaaS teams that treat analytics as part of the product experience itself. By focusing on native embedding, scalable performance, and full control over UX and behavior, it enables teams to deliver customer-facing analytics that remain flexible, performant, and maintainable as the product and customer base grow.

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FAQs

Is Embeddable better suited for SaaS products than Reveal BI?

Embeddable is generally a better fit for SaaS products where analytics are part of the core product experience because it supports native embedding, full UI control, and scalable multi-tenant performance. Reveal BI is better suited to application-embedded reporting with predefined components.

What is the main difference between Embeddable and Reveal BI?

The main difference lies in integration depth and control. Reveal BI embeds analytic components through SDKs within an isolated container and often feels like a separate BI layer. Embeddable enables native DOM rendering, giving product teams full control over UX and interactions.

How do Embeddable and Reveal BI compare on customization?

Reveal BI offers configuration and SDK-driven embeds but retains platform-defined UI and component behavior. Embeddable allows full customization of layouts, styling, interaction patterns, and charting libraries to match the product’s design system.

Which platform performs better at scale?

Embeddable is designed for high-concurrency, multi-tenant SaaS environments using multi-tier caching and pre-aggregations. Reveal BI performs well within its SDK model, but its performance patterns are less optimized for large numbers of concurrent external users.

How do Embeddable and Reveal BI handle multi-tenancy?

Embeddable uses tenant-aware security tokens with row-level, column-level, and object-level access controls designed for SaaS scale. Reveal BI supports role-based access and SDK-level authentication but may require additional application logic for complex multi-tenant SaaS scenarios.

Which tool requires more engineering effort to get started?

Reveal BI typically requires less time to get embedded dashboards running using its SDK components. Embeddable requires more upfront integration work but offers much deeper control and flexibility over long-term analytics needs.

How do pricing models differ between Embeddable and Reveal BI?

Reveal BI uses commercial licensing that often scales with deployment and usage. Embeddable offers flat, predictable pricing with unlimited dashboards and users, which can be more cost-effective for customer-facing SaaS use cases.

When should a team choose Embeddable over Reveal BI?

Embeddable is a better choice when analytics need to be deeply integrated into the product, require full control over UI/UX, and must scale predictably across many tenants with minimal ongoing engineering overhead.

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