Reveal vs Qrvey: Embedded AI Analytics Built for SaaS Scale
Reveal vs Qrvey: Embedded AI Analytics Built for SaaS Scale
Embed AI-powered analytics that feel native to your product. Reveal brings natural language search and automated insights directly into your SaaS application through an SDK-first architecture. Combined with full white-label control, flexible deployment, and predictable flat-rate pricing, Reveal supports long-term product scale without compromising ownership.
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Why Teams Switch to Reveal
As SaaS products scale, embedded analytics must support AI-driven experiences, full UI control, flexible deployment, and predictable costs. Reveal is purpose-built to deliver these priorities.
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AI-Powered Analytics
Natural language queries and automated insights built directly into your product.
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Modern UI/UX
Fully customizable visualizations with complete UI control.
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Native SDKs
React, Angular, Blazor, .NET, and JavaScript integration.
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Predictable Pricing
Flat-rate model designed for scalable SaaS growth.
Reveal vs. Qrvey
Qrvey provides an embedded analytics platform for SaaS applications, offering cloud-based deployment, API-driven integration, and configurable dashboards designed to support multi-tenant environments.
Reveal enhances SaaS products with AI-powered analytics embedded through an SDK architecture built for deeper integration, full UI control, and infrastructure flexibility. Beyond dashboard configuration, Reveal supports conversational data exploration, automated insights, and comprehensive white-label customization designed for modern SaaS growth.
| Feature | Reveal | Qrvey |
|---|---|---|
UI Customization  |
Full white-label control with DOM-level and CSS customization | Configurable dashboards and customizable visual components |
| SDK Support |
Native SDKs for React, Angular, Blazor, .NET, and JavaScript | APIs and SDKs |
| Deployment |
Cloud, on-prem, and hybrid | Cloud |
| AI Features |
Embedded conversational analytics, NLQ, AI dashboard creation | AI-enabled embedded analytics platform |
What Makes Reveal Built for SaaS Scale
Seamless Performance with Large Datasets
Reveal is built for speed and scalability, effortlessly handling large datasets with real-time querying, data pre-aggregation, and lazy loading. Whether dealing with millions of records or complex queries, Reveal keeps analytics fast and responsive—so you never experience lag.
High-Performance Features Built to Last
Reveal rigorously tests, optimizes, and fully documents every feature before release. This guarantees stability, high performance, and unmatched reliability. Expect a smooth, bug-free experience with updates that improve your workflow, not interfere with it.
Unmatched Customization and White-Labeling
Reveal empowers developers with complete UI control, full white-labeling, CSS-based styling, and API-driven flexibility. This way, you can seamlessly integrate analytics into your application without compromise. Your dashboard should blend seamlessly into your software—feeling built-in, not bolted on.
Predictable & Transparent Pricing
Reveal eliminates pricing uncertainties, unexpected cost spikes, and budgeting challenges. With transparent, flat-rate pricing, businesses can scale confidently without hidden fees or unpredictable costs tied to usage. Whether deployed on-premises, in the cloud, or hybrid, Reveal delivers affordable, high-performance analytics without compromise.
Customer-Driven Innovations and Agile Development
Reveal puts user feedback first, not top-down decisions. We continuously refine our platform, ensuring customer needs shape every update. With Reveal, you get a future-ready solution that evolves with your business, delivering faster innovation and a truly customer-driven analytics experience.
Cross-Platform Compatibility
We’re designed to work with your platform, not against it. Whether you’re developing a web-based platform, a mobile app, or desktop software, Reveal’s flexibility allows you to seamlessly integrate it into your existing tech stack. We fully support every cloud provider, every back-end application framework, like Java, .NET, and Node.js, and every server operating system, including Windows, Linux, and MacOS.
This is the magic. On the fly, we transform data from disparate data sources into visual displays that the brain can understand and act on.
Jim Richardson
President of
Atanasoft
Jim Richardson
President of
Atanasoft
What People are Saying About Reveal
I’ve been using Reveal BI for 1 week, and I must say it is completely awesome. I like the intuitive user interface, seamless integration, responsive customer support, powerful visualization tools, real-time analysis, and the best security measures.
The Reveal SDK is ideal for detecting errors in the programming language and creating Add-ons to increase and complement the interfaces and functions that we want to develop.
Reveal has established excellent base for our customers and sales team to explore and raise their concerns on our products and services. It has been able to streamline and our relationship ecosystem that has boosted the growth of our company. I have met and addressed many challenges that affect our customers and solved them to enable them trust our services increase pipeline leads.
Reveal has driven our business performance to great and recommendable lengths. It is very powerful and result achievement product that I highly recommend to any growing business.
With embedded evidence our company teams are able to drive data insights effectively. It anlyses our data automatically and recommends on the most relevant customer markets. With a simple to use interface we are able to create and customize our dashboard and visualizations.
If you have worked with power bi or Qlik view, You would rather use Reveal as it is easier to use and more user friendly. The learning curve to use the software is easy and overall the software is great!
Frequently Asked Questions
Yes. Modern SaaS applications require analytics that scale alongside user growth and expanding datasets. Reveal supports multi-tenant environments and infrastructure flexibility aligned with scalable analytics best practices. Its SDK architecture enables teams to maintain performance and control as adoption increases.
Building embedded analytics from scratch can require months of engineering effort and substantial infrastructure investment. In many cases, teams spend over seven months developing internal dashboard frameworks, query engines, and permission models—often exceeding $350,000 in development costs. Reveal integrates into modern development workflows through its SDK architecture, allowing product teams to embed analytics without building and maintaining custom BI infrastructure. This helps reduce engineering overhead, accelerate roadmap execution, and align analytics enhancements with ongoing product development rather than treating them as a separate system.
Yes. Reveal supports full white-label analytics, including UI customization, CSS styling, branding control, and layout configuration. Developers can align dashboards and workflows with their application’s design system, ensuring analytics integrate seamlessly into the product experience.
Reveal delivers AI analytics within the same governance framework as your product. It supports role-based access control, tenant isolation, SSO, and encrypted data handling, all aligned with enterprise-grade analytics security requirements.
For organizations with stricter infrastructure policies, Reveal also supports on-prem analytics and hybrid deployments. This allows teams to maintain control over data residency and compliance while embedding AI-powered analytics directly into their SaaS applications.
When embedding analytics into a SaaS product, consider how integration impacts engineering timelines. A well-designed SDK can help reduce time-to-market by aligning analytics with existing frameworks and minimizing custom infrastructure work. Evaluate how easily dashboards, AI features, and data workflows integrate into your development stack.
Embedded analytics can directly influence customer retention by delivering insights where users already work. When analytics feel native and interactive, adoption increases, and products become more central to daily workflows. This improves long-term engagement.
Analytics can play a strategic role in data monetization by enabling tiered feature access, premium dashboards, and insight-driven product differentiation.
When evaluating platforms, consider how analytics features, deployment flexibility, and data sources connectivity align with your revenue model and customer segmentation strategy.
Bring AI-Powered Embedded Analytics to Your Product
See how Reveal delivers conversational analytics, scalable deployment, and developer-first integration inside modern SaaS applications.
