Technical Insights

AI agent observability goes beyond model traces. What to instrument across the agent stack, from tool calls to customer outputs, and why governance matters.

Dashboards as code brings version control, CI/CD, and code review to analytics. What it solves, what it misses, and what production-grade analytics needs.

Agentic BI lets AI agents autonomously query data and build dashboards. How it works, where it breaks, and what production-ready actually requires.

AI analytics for security means three different things. This guide untangles them and what governed, auditable analytics needs inside a product.

A technical comparison of Embeddable and Preset for embedded analytics, focused on SaaS use cases, performance, and pricing.

Learn why most self-serve analytics implementations fail in multi-tenant environments, and how Embeddable's data model architecture makes security identical for static and self-serve dashboards—no special cases, just scalable row-level security.

Most teams think picking a charting library is the hard part. It isn't. The real work is everything around the chart. Here's why we built Remarkable.

A technical comparison of Embeddable vs Yellowfin for embedded analytics, covering architecture, customization, security, and SaaS scalability.

Embeddable vs Omni: a clear comparison for SaaS teams evaluating embedded analytics, covering UX control, performance, multi-tenancy, and pricing.

Many customers of SaaS products request custom report features, but what they are actually asking for is the ability to explore their own data. Self-serve analytics enable this without needing your team to build and maintain endless bespoke dashboards. Let’s explore who self-serve dashboards are actually for, where common approaches break down, and where custom solutions make sense.

While building the Custom Canvas feature, we encountered an interesting architectural decision about handling states across large multi-tenant user bases, where we had to consider concurrent state management.