Metabase vs Looker Studio vs Power BI: Which Dashboard Tool Fits

You have data sitting in Shopify, Stripe, a PostgreSQL database, or all three at once. Someone in leadership wants a dashboard. You open a browser and immediately hit a wall: Metabase, Looker Studio, Power BI — three tools, three pricing models, three different opinions from whoever you ask on LinkedIn. Here is a direct comparison so you can stop reading roundups and start building.

What Each Tool Actually Is

Looker Studio is Google’s free, browser-based reporting layer. It sits on top of your data sources — Google Analytics 4, Google Ads, BigQuery, and dozens of third-party connectors — and lets you drag charts onto a canvas. There is no install, no license, and nothing to maintain. The base product costs $0. A Pro upgrade adds team workspaces and organizational ownership for $9 per user per month, but most small teams never need it.

Metabase is an open-source BI tool with a clean query interface that non-technical users can actually navigate. You can self-host it for free (server costs run roughly $20–$100 per month on AWS or DigitalOcean), or pay for a managed cloud plan. The cloud Starter plan runs $100 per month plus $6 per additional user beyond five; Pro is $575 per month plus $12 per user, with ten users included. The self-hosted open-source version has no per-seat charge, which matters a lot once your team grows past ten people.

Power BI is Microsoft’s analytics platform, deeply wired into Azure, SQL Server, and Office 365. Since April 2025 — the first price change in nearly a decade — Power BI Pro costs $14 per user per month and Premium Per User costs $24 per user per month. If your org already pays for Microsoft 365 E5, Pro is included at no extra charge. For capacity-based licensing, Microsoft Fabric starts at $262.80 per month for the smallest tier.

Where Each Tool Wins

Looker Studio: Zero-friction Google dashboards

If your analytics stack is Google-native — GA4, Google Ads, Search Console, BigQuery — Looker Studio is genuinely hard to beat for the price. You can have a marketing performance dashboard running in under an hour with no technical setup. It handles campaign reporting and basic e-commerce funnels well.

Where it struggles: multi-source joins, complex calculations, and anything that needs data modeling beyond simple aggregations. If your CFO wants a P&L dashboard pulling from Xero, Stripe, and a custom database, Looker Studio will frustrate you. Its data modeling capabilities are limited compared to Power BI, and large datasets can feel sluggish.

Third-party connectors — needed to pull in Shopify, HubSpot, or Facebook Ads — run $50–$150 per month each through providers like Supermetrics or Funnel.io. A Looker Studio setup pulling four external sources can quietly cost $400+ per month in connector fees alone.

Metabase: Database-first teams, no per-seat tax

Metabase’s real advantage is its pricing model when self-hosted. Your whole team gets access without the licensing bill scaling with headcount. For a 25-person operations team, self-hosted Metabase on a $40/month VPS beats Power BI Pro at $350/month for the same 25 seats.

The query builder is genuinely approachable. Non-engineers can build simple reports by clicking; engineers can drop to SQL when needed. It connects cleanly to PostgreSQL, MySQL, BigQuery, Redshift, and most relational databases your team is likely running.

The gaps: visualization types are more limited than Power BI, enterprise governance (row-level security, SSO, audit logs) requires the Pro or Enterprise tier, and embedding analytics in a customer-facing product adds cost quickly. It also requires someone technical to set up and maintain the self-hosted version — not a huge burden, but not zero either.

Power BI: Microsoft shops and complex data models

If your business already runs on Microsoft 365, Azure, or SQL Server, Power BI is the natural choice. Native connectors to SharePoint, Dynamics 365, Azure Synapse, and Teams mean your data pipelines stay within infrastructure you already manage and trust. The DAX formula language is powerful — capable of sophisticated financial modeling, time-intelligence calculations, and multi-table relationships that Looker Studio simply cannot do.

The learning curve is real. DAX has a steep syntax that takes weeks to feel comfortable with. The interface is dense. And the per-seat licensing adds up fast for larger teams: 50 users on Power BI Pro runs $700 per month, and that is before any Premium features.

Power BI is not a sensible choice if your stack is Google-native or if you have no existing Microsoft infrastructure to connect to. The connector breadth is impressive, but you pay for every seat, and the tool’s complexity is justified only when you genuinely need it.

The Decision in Plain Terms

Start with Looker Studio if your data lives in Google properties, you need something running this week, and you do not need cross-source data modeling.

Choose self-hosted Metabase if your data lives in a relational database, your team is more than ten people, and you want to avoid per-seat licensing. Managed Metabase cloud makes sense if you do not have infrastructure to maintain.

Go with Power BI if your organization is already in the Microsoft ecosystem, your reporting requires sophisticated data modeling, and you are comfortable with DAX or can budget for training.

The most common mistake: paying for Power BI when 80 percent of what your business needs is a few clean Looker Studio dashboards or a self-hosted Metabase instance. The second most common mistake: picking Looker Studio for something genuinely complex, then spending months working around its modeling limits.

What This Looks Like in Practice

A 15-person e-commerce brand selling on Shopify via the US and EU, running Google Ads and tracking orders in Stripe: start with Looker Studio for marketing reporting and a Metabase instance connected to your Shopify database for operational visibility. Total cost: under $150 per month.

A 60-person B2B SaaS company on Azure, with sales in Dynamics CRM and finance in Excel: Power BI Pro is the coherent choice. $14 per user per month is reasonable when the alternative is building reporting from scratch outside an ecosystem you already pay for.

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If you are not sure which setup fits your team or you have hit a wall trying to make one of these tools do something it was not designed for, we are happy to walk through it with you. No charge for an initial conversation — just a practical discussion of what would actually work for your situation.

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Sources: Microsoft Power BI Pricing; Metabase Pricing; Google Cloud Looker Studio Pro; iKemo BI Platform Comparison. Figures current as of mid-2026; verify against primary sources before acting.