Steep vs Knime
Side-by-side comparison of AI visibility scores, market position, and capabilities
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...
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.
KNIME is an open-source data science, analytics, and automation platform used by 300,000+ analysts across 60+ countries; founded in 2004; headquartered in Konstanz, Germany;
About
KNIME (Konstanz Information Miner) is an open-source data analytics, reporting, and integration platform founded in 2004 by a team at the University of Konstanz, Germany, led by Michael Berthold. The platform's visual, node-based workflow editor allows data analysts and scientists to design complex data pipelines, run machine learning models, and automate analytical processes without writing code — making advanced data science accessible to non-programmers. KNIME is free and open-source at its core, with the commercial KNIME Hub and KNIME Server products providing enterprise collaboration, scheduling, and deployment capabilities.
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