Google Data Studio vs Apache Superset: Managed SaaS vs Open-Source BI

Google Data Studio (now Looker Studio) is a free, Google-managed dashboard tool. Apache Superset is a free, open-source BI platform you self-host. Both are free — but the experience, capabilities, and requirements are completely different.

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Note: Google rebranded Data Studio to "Looker Studio" in October 2022.

AI Agents for Marketing

Crash Course

Graphed

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

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Key Differences

Feature: Price · Google Data Studio: Free (SaaS) · Apache Superset: Free (self-hosted) or Preset from $20/user

Feature: Hosting · Google Data Studio: Google-managed · Apache Superset: Self-hosted (Docker/K8s) or Preset

Feature: Data sources · Google Data Studio: 1,000+ API connectors · Apache Superset: 30+ SQL databases

Feature: SQL access · Google Data Studio: No · Apache Superset: Yes — SQL Lab

Feature: Visualization types · Google Data Studio: ~20 + community · Apache Superset: 60+ built in

Feature: Governance · Google Data Studio: Basic · Apache Superset: RBAC, row-level security

Feature: Setup · Google Data Studio: Instant · Apache Superset: Hours (requires engineering)

Feature: Vendor lock-in · Google Data Studio: Google · Apache Superset: None

Graphed

Build AI Agents for Marketing

Build virtual employees that run your go to market. Connect your data sources, deploy autonomous agents, and grow your company.

Build Your First Agent

When to Use Google Data Studio

• Zero engineering resources, need instant setup
• Data from marketing platforms (GA4, Ads, Meta)
• Non-technical users
• Google ecosystem

AI Agents for Marketing

Crash Course

Graphed

Free PDF · the crash course

AI Agents for Marketing Crash Course

Learn how to deploy AI marketing agents across your go-to-market — the best tools, prompts, and workflows to turn your data into autonomous execution without writing code.

Download the PDF

When to Use Superset

• Data in SQL databases, SQL-proficient team
• Self-hosting and data sovereignty required
• Need 60+ chart types
• Want open source, zero vendor lock-in
• Engineering available for deployment and maintenance

Alternative: Graphed

Graphed bridges both — 350+ connectors (like Data Studio) with powerful analytics (like Superset) plus AI. No SQL, no hosting, no drag-and-drop. Natural language to dashboards. Setup in 15 minutes.

The Bottom Line

Data Studio for free managed simplicity. Superset for free self-hosted power. Choose based on your team's engineering capability and data infrastructure.