Embeddable vs Sisense: A Complete Technical Comparison for SaaS Teams

SaaS teams evaluating embedded analytics often compare tools that appear similar on the surface but are designed for very different operating models.

Sisense is an enterprise analytics platform with strong data modeling and embedded BI capabilities, built to support both internal analytics and customer facing dashboards through a centralized BI layer.

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

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 Sisense because it’s designed for native embedding, multi-tenant scale, and full UI control. Sisense is better suited to centralized BI teams embedding dashboards as a secondary use case.

TLDR;

Sisense

• Enterprise BI platform with embedded analytics support.
  
• Strong semantic modeling and data preparation capabilities.
  
• Embedding typically relies on iframes and SDK wrappers.
  
• Customization possible but often complex and BI driven.
  
• Pricing and infrastructure costs grow with usage and scale.
  

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 Sisense 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.
  

Sisense:

• Embedding via iframes and Sisense JavaScript SDK.
  
• Dashboards run inside an isolated BI container.
  
• Interaction handled through SDK events and filters.
  

Customization

Embeddable:

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

Sisense:

• Customization available but requires configuration and scripting.
  
• UI often retains Sisense look and structure.
  
• Harder to achieve pixel perfect product parity.
  

Performance

Embeddable:

• Multi layer caching including L1 in memory and L2 pre aggregations.
  
• Designed for high concurrency customer facing analytics.
  

Sisense:

• Performance depends on data models, cache configuration and server resources.
  
• Embedded dashboards can feel heavy in high usage scenarios.
  

Multi tenancy

Embeddable:

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

Sisense:

• Supports multi tenancy via roles, filters and tenant separation.
  
• Often requires duplicated dashboards or models.
  
• Operational complexity increases as tenants grow.
  

Setup time

Embeddable:

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

Sisense:

• Requires modeling, data ingestion and semantic layer setup.
  
• Additional configuration for embedding and security.
  

Integration depth

Embeddable:

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

Sisense:

• Dashboards are sandboxed inside iframes.
  
• Integration relies on the Sisense SDK.
  
• Deep UX integration is limited.
  

Pricing

Embeddable:

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

Sisense:

• Enterprise pricing based on usage, data volume and deployment.
  
• Costs increase with customer adoption and scale.
  

Deployment options

‍Embeddable:

• Cloud or self hosted.
  

Sisense:

• Cloud or self hosted deployments available.
  

End user experience

Embeddable:

• Feels fully native to your application.
  

Sisense:

• Feels like a BI tool embedded inside your product.
  
  

What Is Sisense

Overview and core philosophy

Sisense is an enterprise analytics platform focused on centralized data modeling, semantic layers and governed analytics. It supports both internal BI and embedded use cases, positioning itself as a single analytics layer across an organization.

Sisense Embedded Analytics allows teams to surface dashboards inside applications, but these experiences remain closely tied to Sisense’s BI constructs and UI patterns.

Strengths of Sisense

• Strong data modeling and semantic layer.
  
• Flexible deployment options including self hosted.
  
• Broad analytics feature set.
  
• Suitable for internal analytics and partner facing reporting.
  

Limitations for embedded SaaS use cases

• Embedding relies on iframes and SDK abstractions.
  
• UI customization can be complex and brittle.
  
• Dashboards often feel external to the product.
  
• Performance tuning requires BI expertise.
  
• Multi tenant SaaS setups introduce operational overhead.
  

What Is Embeddable

Overview and philosophy

Embeddable is a developer first analytics toolkit designed for SaaS teams that treat analytics as part of the product experience rather than an external BI layer.

Dashboards render natively inside your application, giving teams full control over UI, performance and behavior without rebuilding analytics infrastructure from scratch.

Key strengths of Embeddable

• Native DOM embedding with no iframe boundaries.
  
• Full UI customization and extensibility.
  
• High performance through multi tier caching.
  
• Powerful end user self serve dashboard builder.
  
• Secure tenant aware RLS patterns.
  
• Developer friendly workflows with versioning and CI CD.
  

Ideal use cases

• Customer facing analytics inside SaaS products.
  
• Products where UX consistency and performance matter.
  
• Multi tenant platforms with growing user bases.
  
• Teams outgrowing iframe based BI tools.
  

Feature Comparison Deep Dive

1. Developer experience

Sisense

• BI driven workflow with centralized modeling.
  
• Embedding requires SDK integration and configuration.
  
• Custom behavior often implemented through scripts.
  
• Less flexibility for application specific UX logic.
  

Embeddable

• Code first approach with optional no code tooling.
  
• Native SDKs for JavaScript, React and Vue.
  
• Full control over events, variables and interactions.
  
• Versioned environments aligned with modern engineering practices.
  

What it implies
Sisense is optimized for BI teams managing analytics centrally.
Embeddable is optimized for product and engineering teams building SaaS features.

2. Performance and scalability

Sisense

• Performance depends on data modeling and cache strategy.
  
• Embedded dashboards can become slow under high concurrency.
  
• Scaling often requires infrastructure tuning.
  

Embeddable

• L1 in memory caching for hot queries.
  
• L2 pre aggregations for large datasets.
  
• Caching API for tenant aware refresh strategies.
  
• Lightweight DOM rendering for consistent UX.
  

What it implies
Sisense can scale but requires ongoing operational effort.
Embeddable is designed to scale cleanly with SaaS usage.

3. UI customization and design fidelity

Sisense

• Customization possible but constrained by BI UI patterns.
  
• Dashboards retain Sisense layout and controls.
  
• Achieving full design parity is difficult.
  

Embeddable

• Complete control over styling and layout.
  
• Supports custom charts and components.
  
• Dashboards feel like part of your product.
  
  

What it implies
If UX consistency is critical, Embeddable offers significantly more flexibility.

4. Security and multi tenancy

Sisense

• Supports row level security and role based access.
  
• Multi tenant setups often require duplicated assets.
  
• Complexity increases with tenant count.
  

Embeddable

• Tenant aware security tokens define access.
  
• Row level, column level and object level policies.
  
• No dashboard duplication required.
  
• Enterprise grade security standards supported.
  

What it implies
Sisense supports multi tenancy but not optimally for SaaS at scale.
Embeddable is built for this use case by design.

5. Pricing and ROI

Sisense

• Enterprise pricing model.
  
• Costs scale with usage, data volume and deployment footprint.
  
• Embedded analytics can become expensive at scale.
  

Embeddable

• Flat predictable pricing.
  
• Unlimited users, tenants and dashboards.
  
• Better cost alignment with SaaS growth.
  

What it implies
Sisense works well for internal BI and controlled external use cases.
Embeddable offers more predictable economics for customer facing analytics.

When to Choose Sisense

Best for

• Enterprises centralizing analytics across teams.
  
• Organizations with dedicated BI teams.
  
• Internal analytics and partner reporting.
  

Where it falls short

• iframe based embedding.
  
• Limited UX flexibility.
  
• Higher operational overhead for SaaS scale.
  
• Costs grow with customer adoption.
  

When to Choose Embeddable

Best for

• SaaS products offering analytics as a core feature.
  
• Teams that want full control over UX and performance.
  
• Multi tenant environments requiring scalable RLS.
  
• Developer driven organizations with long term product roadmaps.
  

Added value

• Native rendering with no iframe limitations.
  
• Predictable pricing as usage grows.
  
• High performance for interactive dashboards.
  
• Lower long term engineering overhead.
  
• Strong end user self serve capabilities.
  

Closing perspective

Sisense is a solid choice for organizations that want a centralized BI platform supporting both internal analytics and limited embedded use cases. It works best when analytics are managed by BI teams and surfaced externally in a controlled way.

Embeddable is better suited for SaaS products where analytics are part of the product itself. By focusing on native embedding, scalable performance and full UI control, it allows teams to deliver customer facing analytics that feel seamless, performant and maintainable as the business grows.

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FAQs

Is Embeddable better suited for SaaS products than Sisense?

Embeddable is generally a better fit for SaaS products where analytics are a core part of the product experience because it supports native embedding, full UI control, and scalable multi-tenant performance. Sisense is better suited for internal BI and enterprise reporting extended to external users as a secondary use case.

What is the main difference between Embeddable and Sisense?

The main difference lies in their core design philosophy: Sisense is built as an enterprise BI platform with embedding capabilities, while Embeddable is purpose-built for native integration of analytics inside SaaS products with full control over UI, interactivity, and multi-tenant security.

How do Embeddable and Sisense compare on embedding approach?

Sisense typically embeds dashboards using iframe or SDK wrappers, which limits how tightly analytics can integrate with the host application’s UI. Embeddable renders analytics natively in the DOM, allowing dashboards and components to behave as part of the application itself.

How customizable are analytics in Embeddable compared to Sisense?

Sisense offers customization options within its BI platform, but dashboards often retain the platform’s visual structure. Embeddable allows full control over layout, styling, interactions, and custom components that match a product’s design system.

Which platform is better at handling high concurrency and scale?

Embeddable is designed for high-concurrency, multi-tenant SaaS environments with features like multi-tier caching and pre-aggregations. Sisense can scale in enterprise environments but may require more operational planning and infrastructure tuning to handle large numbers of external users.

How do Embeddable and Sisense handle multi-tenancy?

Embeddable uses tenant-aware security tokens with row-level, column-level, and object-level access controls built for SaaS multi-tenant scenarios. Sisense supports multi-tenant access through roles and filters, but large tenant counts can introduce configuration and maintenance complexity.

Which tool requires more engineering effort to get started?

Sisense can be quicker to set up for internal BI workflows, especially with existing data models. Embeddable requires more initial engineering integration but gives teams deeper control over UI, UX, and long-term maintainability within the product.

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