Google Data Studio (Looker Studio) vs Microsoft Power BI

Google Data Studio (Looker Studio)

The connector gallery is broad and public: over 1,470 connectors claimed, with native PostgreSQL, MySQL, Microsoft SQL Server, BigQuery, Amazon Redshift and Snowflake, plus Sheets, CSV upload and the ad and marketing platforms my fleet customers ask about, and a developer platform to extend it. Data blending across sources is stated. However, we found no public information on refresh intervals and incremental caching, a documented way to reach a database behind a customer firewall, or connector limits per plan.

Microsoft Power BI

Connectivity runs through Power Query with per-connector documentation that states whether DirectQuery is supported, gateways appear as a managed operation group, and reports can even be served from on-premises behind our corporate firewall — relevant for the databases in our fleet data centre. The captured pages name no individual connectors, refresh intervals or multi-source joins, so for our PostgreSQL and telemetry sources I cannot verify the connector list or refresh cadence from public evidence.

Google Data Studio (Looker Studio)

Interactive reports with filters, images, text and multiple pages, a drag-and-drop editor with pixel-perfect or snap-to-grid canvas, a mobile app and Gemini AI assistance are all documented. We found no public information on the chart library itself, drill-down, cross-filtering, templates, brand theming, or localised number and date formats, so I cannot verify the breadth that 600 customer views would need.

Microsoft Power BI

Drag-and-drop authoring on a freeform canvas, interactive and paginated report types that scale to thousands of users, and consumption on the web and mobile devices are documented — the paginated reports matter for the print-ready compliance reports our fleet customers demand. We found no public information on chart types, dashboard-wide filters, drill-down, theming or localised number and date formats in the captured pages.

Google Data Studio (Looker Studio)

Authors get drag-and-drop editing, blended data from several sources, calculated fields creatable through natural-language Gemini prompts on Pro, and custom queries at the BigQuery connector, and personal links let recipients edit and explore their own copy. We found no public information on a shared data model or semantic layer where metrics are defined once, a SQL editor inside the product, or saved questions reused across dashboards, so every customer view would stay hand-built.

Microsoft Power BI

Report authoring happens in a drag-and-drop canvas and data connection plus preparation is handled through Power Query, which is where the captured evidence ends. We found no public information on a semantic layer where metrics are defined once and reused, a SQL editor, natural-language questions or version-controlled definitions — exactly the consistency piece my 600 customers would need so that two customers computing fleet utilisation get the same number.

Google Data Studio (Looker Studio)

Sharing with individuals, teams or the world, embedding a report in any web page or intranet, up to 200 delivery schedules per report to Google Chat, alerts when a chart meets specified criteria, and real-time collaboration are documented. For my product-embedding use case that is not enough: we found no public information on white-label styling, per-viewer row-level filtering in embedded reports, an embedding SDK, an embedding licence model, or export formats such as PDF and Excel.

Microsoft Power BI

This is what my product lives or dies by, and embedding is documented as a first-class capability: REST endpoints for embedding Power BI content, embedding tokens, a.NET SDK, Power BI Embedded capacities managed through Azure Resource Manager APIs, plus sharing for web and mobile and folder-level access management on the report server. The captured pages show scheduled email delivery, threshold alerts, white-label styling, per-viewer row-level filtering and an embedding licence price only by their absence, so I could not confirm the branded multi-tenant embedding my roadmap needs.

Google Data Studio (Looker Studio)

Team workspaces with Manager, Content Manager and Contributor roles, project-level IAM permissions, organisation-owned content and a documented REST API for asset search and management give basic administration, though the API states that deeper report metadata such as filters and dimensions cannot be retrieved and is restricted to Google Workspace or Cloud Identity organisations. We found no public information on row-level security, single sign-on with SAML, audit logs, or separate development and production environments, which I would need before putting this in front of every customer account.

Microsoft Power BI

A documented REST API covers administration and content management across dashboards, datasets, dataflows, gateways, pipelines, template apps and workspaces, service principals are supported, and Power BI Report Server is a genuinely on-premises edition with its own documentation — the self-hosting and exit story my procurement team always asks about. We found no public information on row-level or column-level security, single sign-on, audit logs or export of definitions on termination in the captured pages, which leaves the per-customer separation question for embedding open.

Google Data Studio (Looker Studio)

For users in the European Economic Area the contracting and controlling entity is Google Ireland Limited in Dublin, a Cloud Data Processing Addendum is published with version history, and a Google Cloud subprocessor list exists; the Pro edition adds data residency within a chosen geographical area, customer-managed storage for uploads and extracts, and customer-managed encryption keys. Against that, the privacy policy states servers are operated worldwide, the parent company is in the USA, and we found no public information on security certifications or the locations of individual subprocessors, so I could not confirm an end-to-end European chain for Austrian fleet data.

Microsoft Power BI

Microsoft commits under its EU Data Boundary to store and process customer data in EU datacenters including sites in Austria and Germany, covering Power Platform, and a data processing agreement is published; EU business customers contract with Microsoft Ireland Operations Limited while the German legal notice names Microsoft Corporation in Redmond as provider. The boundary explicitly allows limited continued transfers outside the EU and excludes multi-geo customers, API request and response data may be processed in datacenters outside the tenant's home region, and we found no public information on subprocessors or security certifications.

Google Data Studio (Looker Studio)

The free tier is explicitly available "at no charge for creators and report viewers", and Pro is published at "$9 per user per project per month" with a 30-day trial that is free if cancelled, but the same pages state the per-user price varies with subscription length without quantifying that variance. We found no public information on VAT treatment, minimum terms, or any price for embedding reports for external users, which is the number I would have to build into my own product price.

Microsoft Power BI

The product page offers a free trial download but states no prices itself — the price list sits behind a "Preise anzeigen" link whose contents the captured pages do not show. The one number I need, the licence cost of embedding analytics for 600 customer tenants that I could build into our own product price before signing, is not visible in the public evidence, and we found no public information on tier boundaries or how cost scales with viewers or capacity.