
Evidence is a modern embedded analytics platform that provides a code-first approach for data teams to build customer-facing dashboards and reports. It enables developers and data professionals to define analytics as code using SQL and markdown, creating publication-quality visualizations designed for all device sizes. This platform is specifically built for organizations that need to embed analytics directly into their own products, offering a professional development workflow that integrates seamlessly with existing engineering practices. The core value of Evidence lies in its ability to deliver enterprise-ready embedded analytics that feel native to applications while maintaining the rigor of software development methodologies.
Traditional embedded analytics solutions often rely on drag-and-drop interfaces and UI-driven workflows that create maintenance challenges and version control issues. Evidence solves this concrete problem by providing a development workflow where analytics are treated as production software, with version control by default and proper review processes before publishing. This matters significantly to data teams because it eliminates the disconnect between data analysis and software development, ensuring that embedded analytics maintain the same quality standards as the rest of the application. By owning the analytics development process, teams can avoid vendor lock-in and maintain full control over their most important data products.
The platform's professional design capabilities represent a major feature group that ensures embedded reports match brand specifications perfectly. Evidence provides a live theme editor with instant preview functionality, allowing teams to customize colors, fonts, and styling to create analytics that feel native to their applications rather than bolted-on components. This feature works through a comprehensive theming system that applies consistent design across all visualizations and report elements. The benefit is that customers experience analytics as an integrated part of the product rather than a third-party addition, which enhances user trust and engagement while maintaining brand consistency across the entire user experience.
Superior performance constitutes another critical feature group, with Evidence delivering sub-second interaction times even when processing millions of records. This is achieved through an optimized query engine with intelligent caching mechanisms and automatic scaling capabilities. The platform handles large datasets efficiently without requiring manual tuning or performance optimization from development teams. This performance characteristic is particularly valuable for customer-facing analytics where slow load times can directly impact user satisfaction and retention. The system's architecture ensures that embedded dashboards remain responsive regardless of data volume or concurrent user load.
admin
Evidence offers robust security features including row-level security enforced at the database level using encrypted user attributes. This capability allows each customer to see only their own data, defined declaratively at the table level without requiring custom access layers to build or maintain. The platform integrates seamlessly with existing authentication systems through a single iframe and API endpoint approach, supporting JWE encryption with single-use URLs and configurable session lengths. These integration features work with any web stack, providing flexibility for development teams while maintaining strong security protocols for embedded analytics deployments.
The product operates through a modern development workflow where teams build dashboards and reports using SQL queries and markdown formatting within a version-controlled environment. This code-first approach means analytics development follows the same processes as software development, including code reviews, testing, and controlled deployments. The workflow begins with data teams writing SQL to extract and transform data, then using markdown to structure reports and incorporate visualization components. This methodology ensures that analytics are reproducible, maintainable, and can be integrated into continuous integration and delivery pipelines alongside other application code.
Concrete use cases include e-commerce platforms embedding customer analytics directly into merchant dashboards, where each merchant sees only their own sales data with sub-second query performance. Financial services companies can embed portfolio analytics into client portals with perfect brand matching and enterprise-grade security. SaaS providers can integrate usage analytics into their applications, showing customers how they're using the platform while maintaining data isolation between tenants. In each scenario, the outcome is professional-grade embedded analytics that enhance product value without requiring extensive custom development or compromising on performance, security, or design consistency.
Evidence targets data teams, analytics engineers, and developers at companies building data products that require embedded analytics capabilities. The platform supports organizations needing SOC 2 Type II certification, multi-region data residency across 20+ global regions, and multi-language support for serving international customers. It offers volume licensing and dedicated support channels for enterprise deployments. The technology stack integrates with modern development tools and version control systems. The summary takeaway is that Evidence provides a production-ready approach to embedded analytics that combines software development best practices with powerful visualization capabilities, enabling teams to build and maintain analytics as core product features rather than afterthought additions.
Evidence targets data teams, analytics engineers, and developers at companies building data products that require embedded analytics capabilities. This includes SaaS providers needing to embed analytics into their applications, financial services companies requiring secure client-facing dashboards, e-commerce platforms integrating analytics for merchants, and enterprise organizations with compliance requirements like SOC 2 certification. The platform serves teams that prefer code-based workflows over drag-and-drop interfaces and need to maintain analytics as part of their software development lifecycle.