Power BI vs Steep
Side-by-side comparison of AI visibility scores, market position, and capabilities
Microsoft (NASDAQ: MSFT) business intelligence platform for 250,000+ organizations with Teams and M365 embedding; competing with Tableau and Looker for enterprise analytics through Copilot AI natural language queries.
About
Power BI is Microsoft's (NASDAQ: MSFT) business intelligence and analytics platform — included in Microsoft 365 and available as a standalone product — providing self-service data visualization, interactive dashboards, report authoring, and AI-powered analytics insights for business analysts and data professionals across 250,000+ organizations globally. Part of Microsoft's $245 billion annual revenue platform, Power BI generates an estimated $2+ billion annually as the fastest-growing element of the Microsoft Fabric data platform, competing directly with Tableau (Salesforce acquisition) and Looker (Google) for enterprise analytics spend.
Copenhagen Denmark BI platform for modern data teams connecting to Snowflake and BigQuery; metric-centric analytics with fast warehouse-native query execution and clean opinionated UI designed as an alternative to legacy BI paradigms for analytics engineering teams.
About
Steep is a business intelligence and analytics platform founded in 2021 and headquartered in Copenhagen, Denmark. The company was founded by former product and engineering leaders to build a BI tool optimized for the modern data team workflow — fast, warehouse-native query execution, a clean and opinionated UI, and first-class support for the metric-centric analytics workflows that analytics engineering teams are building. Steep positions itself as an alternative to legacy BI tools that carry the weight of decade-old UI paradigms and to overly complex enterprise platforms.\n\nSteep has raised pre-seed funding and operates as a lean, product-focused startup primarily targeting analytics engineering teams in Europe and growing technology companies. Its platform connects directly to Snowflake, BigQuery, and Redshift as the query engine, ensuring that all analysis runs against live warehouse data without intermediate caching layers that can serve inconsistent results. Steep's metric layer allows teams to define business metrics centrally and build dashboards around those metrics rather than one-off SQL queries, promoting consistency in how the company measures performance.\n\nSteep's dashboard experience is designed for both analysts building data products and business stakeholders consuming them, with a clean viewer mode that removes technical noise for non-technical audiences. The platform supports scheduled email and Slack delivery of dashboard snapshots, data alerting for metric threshold monitoring, and embedding for sharing dashboards in internal tools. Steep's European roots and GDPR-compliant data architecture make it a strong fit for European organizations with data residency requirements.
AI Visibility Head-to-Head
Capabilities & Ecosystem
Capabilities
Integrations
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.