Google Data Studio vs Supermetrics: Dashboard Tool vs Data Connector

Google Data Studio (now Looker Studio) and Supermetrics are not really competitors — they are complementary tools that many teams use together. Data Studio is a dashboard builder. Supermetrics is a data pipeline tool that pulls marketing data from platforms and delivers it to destinations like Data Studio, Google Sheets, BigQuery, and Excel.

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

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Key Differences

Feature: What it is · Google Data Studio: Dashboard builder · Supermetrics: Data connector/pipeline

Feature: Price · Google Data Studio: Free · Supermetrics: From $39/month per connector

Feature: Does it visualize? · Google Data Studio: Yes · Supermetrics: No (delivers data to other tools)

Feature: Does it connect to sources? · Google Data Studio: Yes (1,000+ connectors) · Supermetrics: Yes (100+ marketing sources)

Feature: Does it transform data? · Google Data Studio: Basic calculated fields · Supermetrics: Data mapping, filtering, scheduling

Feature: Primary value · Google Data Studio: Turns data into charts and dashboards · Supermetrics: Moves data from A to B reliably

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

How They Work Together

Supermetrics is one of the most popular ways to get non-Google marketing data into Data Studio:

1. Supermetrics pulls data from Facebook Ads, LinkedIn Ads, TikTok Ads, HubSpot, etc.
2. Data lands in Google Sheets or BigQuery
3. Data Studio connects to the Sheet/BigQuery table and visualizes it

This is the standard stack for marketing teams that need Meta Ads, LinkedIn, or other non-Google data in their Data Studio dashboards.

When You Need Supermetrics

• You use Data Studio but need non-Google data (Meta Ads, LinkedIn Ads, TikTok, HubSpot)
• You want to backfill historical data from marketing platforms
• You need scheduled data refreshes into Sheets or BigQuery
• Data Studio's native partner connectors are too expensive or unreliable

When Data Studio Alone Is Enough

• Your data is all Google-native (GA4, Ads, Sheets, BigQuery)
• Partner connectors in Data Studio cover your non-Google sources
• You do not need historical backfills or transformation

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 Neither Is Enough

The Data Studio + Supermetrics stack still requires manual dashboard building, has a 5-source blending limit, and breaks when connectors fail. You are paying for Supermetrics to pipe data, then spending time building dashboards on top of it.

Graphed replaces the entire stack. It connects directly to 350+ data sources — all the marketing platforms Supermetrics covers plus CRMs, payment processors, and databases — and builds dashboards from natural language. No pipeline to configure. No dashboards to build. AI handles everything. Setup in 15 minutes, first dashboard in 24 hours.

The Bottom Line

Data Studio visualizes. Supermetrics connects. They solve different problems and work well together. But if you are paying for Supermetrics + spending time in Data Studio, the total cost (subscription + your time) may justify an AI-powered alternative that does both.