When you search for "Supabase analytics" or "Supabase dashboards," you'll find three types of results: Supabase's own documentation about logs and monitoring, Reddit threads asking how to do analytics on Supabase, or ads for products that loosely connect click tracking to your database.
None of these truly solve the analytics problem. And the issue isn't Supabase, it's how we've been thinking about analytics entirely.
The Traditional Analytics Approach Is Fundamentally Broken
For years, we've accepted a painful reality: if you want product analytics, you need to install third-party JavaScript libraries, pipe your data to external platforms like Posthog, Mixpanel or Amplitude, pay escalating costs as you scale, and then... hope the data actually matches what's in your database.
It's backwards. Your source of truth is your Supabase database. Why are we treating it like a second-class citizen? Your real product data lives in your database, but your analytics live somewhere else entirely.
Supabase Analytics & Reports: Good Infrastructure, Missing the Last Mile
Supabase recently launched Analytics Buckets with Apache Iceberg support: a solid move toward separating analytical workloads from transactional ones. They've built a robust "Reports" feature with telemetry for monitoring database performance, logs, auth metrics, and storage stats. For self-hosters, there's even a Prometheus endpoint for Grafana dashboards.
This is excellent infrastructure for database management if you know SQL.
But here's what's missing for real product analytics:
You still need to:
- Write complex SQL queries to extract insights
- Build your own dashboards from scratch
- Understand data modeling and partitioning strategies
- Wait for engineers to pull reports when stakeholders need answers
- Manually connect the dots between user behavior and product decisions
And if you're a startup founder, product manager, or anyone without a dedicated data team? You're stuck begging engineers for basic metrics or settling for incomplete pictures of your users.
Enter Dreambase: Database-First Analytics & Dashboards for Supabase
Here's a pic of the Dreambase Report generate in action:
We built Dreambase because we were tired of the same old trade-offs. We asked a simple question: What if your Supabase database could just show you what's happening?
More on Dreambase here: https://dreambase.ai/blog/supabase-analytics
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