Multi-tenant analytics for SaaS applications

Embedding analytics dashboards into multi-tenant SaaS applications presents distinct challenges, primarily ensuring each customer sees only their data to maintain trust and privacy. Multi-tenant analytics, which combines multi-tenancy and user-facing analytics, involves collecting data from multiple customers and displaying tenant-specific metrics through shared infrastructure. User-facing analytics integrate real-time data visualizations directly into software applications, differing from traditional BI by offering on-demand data interactions. Key to secure multi-tenant analytics is row-level security, which restricts data access at the database row level, and JSON Web Tokens (JWTs) that provide a secure way to enforce these restrictions by ensuring only authorized data is accessible. Platforms like Tinybird simplify this process by enabling developers to stream data, define metrics with SQL, and publish analytics as low-latency REST APIs. Tinybird's approach, used by companies like Vercel and Canva, combines multi-tenancy and user-facing analytics, leveraging JWTs to ensure data security and isolation across tenants.

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