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This comparison evaluates Embeddable and Preset for SaaS teams considering embedded analytics inside their products.
Preset is a managed analytics platform built on Apache Superset, designed to make BI accessible through cloud-hosted dashboards and SQL-driven analytics workflows. It enables internal teams to explore data, visualize insights, and share dashboards, and it also supports embedding analytics into external applications via iframe-based approaches.
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 that 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 leaders decide faster — and if you’re building customer-facing analytics inside a SaaS product, Embeddable is generally a better fit than Preset because it’s designed for native embedding, full UI control, and scalable multi-tenant performance, while Preset is better suited to internal analytics with basic embedded dashboards.
TLDR;
Preset
- Managed analytics platform built on Apache Superset
- Strong SQL-centric dashboards and visualizations
- Embedded dashboards supported via iframes
- Best suited for internal BI use cases
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 Preset 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.
Preset: Embedded dashboards via iframes. Analytics run inside a BI sandbox with limited integration with host application state.
Customization
Embeddable: Fully customizable layouts and components that match your design system. Supports custom charts and product-specific interactions.
Preset: Dashboards can be styled, but deep integration with your design system is limited; visuals are constrained by Superset conventions.
Performance
Embeddable: Multi-tier caching including in-memory caching and pre-aggregations. Optimized for high-concurrency customer-facing workloads.
Preset: Performance depends on Superset configuration and backend resources; embedded dashboards may experience query and rendering latency.
Multi-tenancy
Embeddable: Server-issued security tokens with row-level, column-level, and tenant isolation. No dashboard duplication per tenant.
Preset: Basic role-based access and filters supported; multi-tenant SaaS setups require careful governance and dataset planning.
Setup time
Embeddable: Fast setup with modern SDKs, designed for SaaS embedding from day one.
Preset: Requires Superset and Preset configuration, data modeling, and security setup before embedding.
Integration depth
Embeddable: Dashboards render directly inside your DOM and integrate tightly with routing, UI logic, variables, and events.
Preset: Embedded analytics run within iframes with limited two-way interaction with application logic.
Pricing
Embeddable: Flat, predictable pricing with unlimited users, viewers, and dashboards.
Preset: Tiered or usage-based pricing that scales with usage, compute, and team size.
Deployment options
Embeddable: Cloud or self-hosted deployment.
Preset: Cloud-hosted managed service.
End-user experience
Embeddable: Feels fully native to the application. Analytics behave like a core product feature.
Preset: Feels like an embedded BI tool that retains Superset-style UI conventions.
What Is Preset
Overview and core philosophy
Preset is a managed analytics platform built on Apache Superset, focused on delivering dashboards and SQL-driven analytics workflows through a cloud-hosted environment. Its core philosophy is to make self-service BI accessible while retaining Superset’s flexibility and open-source foundations.
Embedded analytics in Preset are available via iframe-based embeds, enabling teams to surface dashboards within applications, though the experience remains attached to Superset’s BI UI.
Strengths of Preset
- Built on Apache Superset
- Strong SQL-centric analytics workflows
- Flexible dashboarding for internal teams
- Cloud-hosted, managed analytics
Limitations for embedded SaaS use cases
- Embedding always uses iframes
- UI and interactions still reflect BI-centric design
- Multi-tenant SaaS scaling requires careful governance
- Less control over performance tuning for large-scale usage
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 dashboards from a BI tool, 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 through 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 iframe-based embedded dashboards
- Reducing long-term engineering overhead
Feature Comparison Deep Dive
1. Developer experience
Preset workflows are BI-centric, requiring data modeling and Superset configuration before dashboards can be embedded.
Embeddable offers a code-first developer experience with SDKs for JavaScript, React, and Vue, allowing analytics to behave like first-class product features.
2. Performance and scalability
Preset performance depends on Superset configuration, compute resources, and data volumes.
Embeddable is optimized for high-concurrency SaaS analytics with in-memory caching, pre-aggregations, and tenant-aware cache control.
3. UI customization and design fidelity
Preset dashboards retain Superset-style UI, which limits deep design integration.
Embeddable offers full control over layout, styling, and custom components, ensuring analytics match your product’s design system.
4. Security and multi-tenancy
Preset supports role-based access and filters, but SaaS multi-tenant deployments require careful governance and dataset planning.
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
Preset’s pricing scales with usage, compute, and team size.
Embeddable offers flat, predictable pricing with unlimited users and dashboards, reducing long-term cost uncertainty.
When to Choose Preset
Best for
- Internal BI and analytics teams
- SQL-driven dashboarding workflows
- Teams that want a managed analytics platform
Where it falls short
- Deep product-level UX integration
- Highly customized embedded experiences
- High-concurrency SaaS use cases
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 boundaries
- Predictable pricing as usage grows
- High performance for interactive dashboards
- Reduced long-term engineering overhead
FAQs
Is Preset good for customer-facing analytics in SaaS products?
Preset can support embedded dashboards, but it is primarily designed for internal BI and self-serve analytics with a Superset-style experience. Embedded analytics often feel like a BI surface rather than a fully native product feature.
Is Embeddable better suited for SaaS products than Preset?
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 Preset?
Preset focuses on managed BI and SQL-driven analytics workflows, while Embeddable focuses on embedding native analytics components directly into SaaS products.
How customizable is Preset compared to Embeddable?
Preset allows configuration within its BI framework, but deep design integration is limited compared to Embeddable’s full DOM control and styling.
Which platform performs better at scale?
Embeddable is designed for high-concurrency SaaS environments using multi-tier caching. Preset performs well for internal analytics but is less optimized for high-scale customer usage.
How do Embeddable and Preset handle multi-tenancy?
Embeddable uses tenant-aware security tokens with fine-grained RLS. Preset supports role-based access, but SaaS multi-tenant scenarios require additional governance configuration.
