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.

Supabase Reports: great for monitoring

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

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?

Here's how it works:

Connect Once, Insights Forever

No JavaScript libraries to install (which ad-blockers will block). No event tracking to configure. No data pipelines to maintain. Just connect your Supabase project, and Dreambase scans your schema to understand your data structure.

Context-Aware AI That Actually Understands Your Database

When you onboard to Dreambase, within 30 seconds the AI agents create custom workspace context tailored to your data structure.

This isn't generic AI that hallucinates table names or writes broken SQL. Dreambase uses cascading context: indexing your schema, creating workspace-wide AI context, and generating focused, project-specific context for each report. The result: accurate queries that work with your actual data model.

Workspace Schema Context

Dreambase Agents scan your Supabase schemas, map every relationship, and store the context so every bit of analytics is coming directly from your source of truth.

Swagger API Contracts from your Supabase Schemas and Human-Readable Schema Documentation

Project Planning Context

When you create a report, the Dreambase Agents will take your Workspace Schema Context and your report requirements, and automatically go into Planning Mode to write your custom reporting requirements, scoped EXACTLY to your most relevant database tables, column relations, and analytics focus.

Planning Mode where Dreambase Agents write context docs based on your Supabase Schema and requirements

Create Supabase Dashboards & Reports in Seconds, Not Sprints

"Show me user retention by cohort for the last 90 days." "Which features are power users engaging with most?" "What's our conversion funnel looking like this month?"

Just ask. Dreambase generates the report, complete with visualizations and insights. No SQL required. No waiting for the data team. No compromise on accuracy.

Iterate, Explore, and Collaborate

Don't like the initial report? Refine it. Want to dig deeper? Ask follow-up questions. Need to share with your team? Collaborate in shared workspaces and projects. The Dreambase Analytics Agent guides you through the process.

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Why Database-First Supabase Analytics Matters Now

We live in an unprecedented time where anyone can build an application with a database and Supabase is growing at an astronomical rate. People need an easy solution to get answers quickly, without requiring coding, engineering, data movement, analytics, and cost prohibitive licensing.

Traditional analytics vendors will tell you that Supabase isn't "optimized" for analytics because Postgres is row-oriented, not columnar. They'll show benchmarks proving their purpose-built analytics databases are faster.

They're not entirely wrong about the architecture. But they're missing the point.

Most teams don't need to query billions of rows in milliseconds. They need to answer questions like:

• "Why did signups drop last week?"

• "Which users should we reach out to for feedback?"

• "What's driving our highest engagement rates?"

Teams need insights grounded in actual product data, not proxy events from a JavaScript library.

Dreambase delivers both: the accuracy of querying your source of truth and the speed of AI-native analytics that doesn't require a data engineering degree.

The Future of Supabase Analytics

We're not just building another analytics tool. We're pioneering a new approach: database-first analytics.

Your Supabase database already contains everything you need to understand your users, optimize your product, and make better decisions. The question isn't whether you can do analytics on Supabase - it's whether you have the right tools to unlock those insights without pulling engineers off product work.

That's what Dreambase does:

• Partners closely with Supabase, integrating with their entire suite (PostgREST, Realtime, Edge Functions, MCP)

• Deploys context-aware AI that ensures accuracy

• Delivers an experience simple enough for beginners and powerful enough for experts

Get Started with Supabase Analytics for Free

We offer a free tier to test out the full features and see the power of Dreambase. No credit card required. Connect your Supabase project and ask your first question. See how fast you can go from "I wonder..." to "Now I know."

Because in the age of AI, analytics shouldn't be a bottleneck. It should be a superpower.

Start with Dreambase for Free →

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Kyle Ledbetter is Co-Founder of Dreambase.ai, where he's leading the charge for AI-native startups and workflows. With over two decades in design and AI leadership, he's focused on transforming how teams unlock insights from their data.

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Frequently Asked Questions

Q: Can I really do analytics directly on my Supabase database?
A: Yes. Dreambase connects to your Supabase database as your source of truth, eliminating the need for third-party tracking libraries or external data warehouses.

Q: Do I need to know SQL to create Supabase reports?
A: No. Dreambase's AI agents understand your database schema and generate accurate SQL queries from natural language questions.

Q: How is this different from Supabase's built-in Reports feature?
A: Supabase Reports excel at infrastructure monitoring. Dreambase focuses on product analytics—understanding user behavior, retention, conversion, and engagement patterns without requiring SQL expertise.

Q: Will this work with my existing Supabase setup?
A: Yes. Dreambase integrates with all Supabase features including PostgREST, Realtime, Edge Functions, and MCP.

Q: What about performance with large databases?
A: Dreambase is optimized for typical product analytics queries. Most teams query thousands to millions of rows, not billions, making Postgres through Supabase perfectly suitable for their analytics needs.