5 Best White Label Analytics Platforms of 2025 

End users expect fast, branded analytics right inside your product. They want dashboards that match your UI, update in real time, and don’t require help from engineering. 

But most tools fall short. They limit branding control, lock you into rigid UX, or cost too much to scale. To help you out, we compared the top white label analytics platforms on the metrics that matter most for SaaS companies and ISVs. 

Reveal 

Reveal is a white label analytics platform that embeds fully branded, self-service dashboards directly into your SaaS product or client portal, giving end users instant access to insights without relying on your dev team. 

Strengths 

Reveal delivers complete white-label capabilities and deep UI control through its true embedded SDK. It integrates natively with .NET, Angular, React, Blazor, and others, without using an iframe. Moreover, Reveal is offering flexible cloud, on-prem, or hybrid deployment. Multi-tenant architecture supports secure, scalable delivery, while broad data sources coverage and AI-powered analytics give teams the ability to connect any dataset and explore it in real time. Fixed pricing without per-user fees makes scaling predictable. 

Limitations 

Initial SDK setup requires developer resources, which can be a shift for teams used to plug-and-play tools. However, this upfront investment unlocks unmatched control and scalability. 

What Makes It Stand Out 

Reveal solves one of the biggest challenges in embedded BI—balancing deep customization with performance and scalability. Most tools force you to choose between branding flexibility and fast, scalable delivery. Reveal offers both, giving SaaS teams a native, seamless analytics experience that grows with their product. 

Best For 

SaaS product teams, ISVs, agencies, and developers who need complete UI control, multi-tenant analytics delivery, and a scalable white label analytics platform that fits their infrastructure and growth plans. 

ThoughtSpot 

ThoughtSpot is a cloud-based BI and search-driven white label analytics platform that helps teams analyze complex datasets with natural language queries, eliminating the need to prebuild every dashboard. 

Strengths 

For SaaS teams and agencies, ThoughtSpot offers a fast path from question to insight. Users can type queries in plain language and instantly generate interactive visualizations. Its AI-driven SpotIQ feature can surface trends automatically, reducing analyst bottlenecks. The Visual Embed SDK allows teams to bring analytics into their apps, enabling real-time exploration for clients without moving data into separate tools. 

Limitations 

Branding flexibility is limited compared to a fully customizable white label analytics platform, and deployment is cloud-only. Pricing is usage-based, which can create cost challenges when scaling across many clients. Some teams report a learning curve before the search experience feels natural. 

What Makes It Stand Out 

ThoughtSpot excels at ad-hoc data exploration. Instead of static reports, it empowers end users to answer their own questions instantly. This makes it valuable for teams under pressure to deliver insights quickly without expanding analyst headcount.  

Best For 

Organizations that prioritize speed to insight over deep customization, and that want a search-driven analytics experience embedded directly into their product. 

Luzmo 

Luzmo is a lightweight white label analytics platform designed for quick deployment of embedded dashboards. It offers simple customization and a drag-and-drop editor, making it easy for non-technical teams to create and share visualizations. 

Strengths 

For SaaS companies and agencies needing a fast start, Luzmo delivers an easy embedding process via iFrames or web components. Users can style dashboards with custom colors, fonts, and CSS to match their brand. It supports a range of SQL databases and cloud sources, and its no-code editor lets client-facing teams adjust dashboards without developer involvement. 

Limitations 

Branding flexibility is limited compared to a fully customizable white label analytics platform. Layout and feature control are constrained by its embedding method. Deployment is cloud-only, and usage-based pricing can become costly when scaling across multiple tenants. AI and advanced analytics capabilities are still basic. 

What Makes It Stand Out 

Luzmo focuses on simplicity and speed. It’s a fit for teams that value rapid dashboard delivery and minimal setup over deep customization or architectural flexibility. 

Best For 

Agencies or product teams that want to embed good-looking dashboards quickly and can work within the limitations of iFrame-based embedding. 

Embeddable 

Embeddable is a developer-focused white label analytics platform that delivers headless, SDK-based analytics for teams who want pixel-perfect control over the user experience. It’s designed to integrate seamlessly into modern SaaS products with a front-end development team in place. 

Strengths 

With a headless React/JS SDK, Embeddable gives developers full control over the look and feel of dashboards, making it possible to match product design exactly. Multi-tenant support, row-level security, and an extensible charting library make it suitable for SaaS-scale delivery. Performance is strong, with sub-second load times enabled by caching and a semantic layer. For teams that want to integrate analytics deeply into their product’s UI, this SDK-first approach avoids the limitations of iFrames. 

Limitations 

It’s a cloud-only solution and offers fewer native data connectors compared to other white label analytics platforms. Developer involvement is required for setup and ongoing customization, which may be a hurdle for teams without dedicated engineering resources. 

What Makes It Stand Out 

Embeddable’s headless architecture allows unmatched UI flexibility. This makes it ideal for teams that want analytics to feel like a native feature of their product rather than an add-on. 

Best For 

SaaS companies with front-end development capacity that need complete visual control and secure, multi-tenant analytics delivery. 

Qrvey 

Qrvey is an AWS-native white label analytics platform built for SaaS providers who want to deliver analytics, automation, and workflows in one integrated environment. Its container-based architecture supports multi-cloud deployment, but it’s optimized for AWS users. 

Strengths 

Qrvey offers full SDK-based theming, custom domains, and multi-tenant architecture with strong data isolation. It connects to a wide range of SQL, NoSQL, and cloud data sources, and its embedded workflow automation allows teams to act on data without leaving the platform. An ElasticSearch-based data lake backs performance for speed and scalability. Its integration with AWS services makes it a natural fit for teams already invested in that ecosystem. 

Limitations 

While flexible in architecture, it’s primarily cloud-first and most deeply integrated with AWS. This can limit appeal for teams using other cloud providers. Pricing transparency can be an issue for organizations planning large-scale deployment compared to other white label analytics platforms with fixed models. 

What Makes It Stand Out 

Qrvey combines embedded analytics with automation and workflow capabilities, reducing the need for multiple tools. Teams can move from insight to action within the same environment. 

Best For 

SaaS providers who operate primarily on AWS and want analytics, automation, and multi-tenant delivery in a single platform. 

Key Features to Look For in a White Label Platform 

Choosing the right white label analytics platform is about more than ticking off feature boxes. For SaaS teams, agencies, and developers, the right tool must align with branding needs, integration depth, and growth plans. 

Full Branding Control 

Dashboards should feel like they were built in-house. Look for complete white-label capabilities, including logos, colors, fonts, layouts, and domains. Advanced options include UI element control and CSS/JS injection, ensuring analytics match your product’s design system perfectly. 

SDK-Based Embedding 

An SDK-first approach avoids the restrictions of iFrames, enabling native integration, dynamic theming, and advanced interactivity. Platforms should support multiple frameworks (.NET, Angular, React, Blazor) and offer APIs, event hooks, and single sign-on (SSO). This gives developers flexibility while maintaining a seamless user experience. 

Multi-Tenancy for Client Delivery 

Multi-tenancy allows you to serve multiple customers from one platform while keeping each tenant’s data isolated. This is critical for SaaS scaling and agency work, ensuring security and efficiency without spinning up separate environments. 

Real-Time Performance 

User adoption drops when dashboards lag. Evaluate how the platform handles high concurrency, complex queries, and large datasets. Real-time or near-real-time updates keep clients engaged and confident in their data. 

Transparent Pricing 

Avoid per-user or unpredictable usage-based fees, which can quickly escalate as you grow. Fixed or scalable pricing models make budgeting easier and allow for rapid expansion without hidden costs. 

Self-Service Dashboards 

Empower end users, whether internal teams or clients, to create, filter, and explore dashboards without developer support. Self-service reduces bottlenecks, frees up technical resources, and improves customer satisfaction. 

Advanced Features 

Explore embedded analytics features such as AI-powered insights, predictive modeling, and natural language queries. These capabilities move your analytics offering beyond static reporting and help you drive growth by turning data into action. 

Which One’s the Right White Label Analytics Platform for You? 

Choosing a white label analytics platform comes down to how well it solves your team’s biggest challenges: branding flexibility, control over the user experience, scalability for multiple clients, and predictable growth without spiraling costs. 

For many SaaS teams and agencies, the decision often comes down to balancing deep customization with performance. Some platforms excel at speed but limit your control. Others allow complete branding but struggle to scale or keep costs transparent. 

Reveal addresses these pain points in one solution. It offers complete white-label capabilities, full SDK-based embedding for a native experience, and deployment flexibility across cloud, on-prem, or hybrid environments. Multi-tenant architecture supports secure delivery to every client, and pricing stays predictable as you grow. 

Avion is a great example. They scaled branded dashboards across a global customer base without adding developer overhead, embedding analytics directly into their platform so clients could access real-time data in a familiar interface. The result is higher adoption, stronger retention, and less strain on technical resources. 

If your goal is to deliver scalable, fully branded analytics as part of your core product, Reveal is the white label analytics platform that will grow with you, meeting your needs today and adapting to whatever your product demands next. 

Ready to give your users the analytics experience they deserve? Book a demo with Reveal and see how easy it is to integrate, scale, and deliver branded dashboards your customers will love.