Qlik vs Steep
Side-by-side comparison of AI visibility scores, market position, and capabilities
Enterprise analytics platform with $1B revenue; Qlik Sense associative engine now combined with Talend data integration under Thoma Bravo as full data platform competing with Tableau.
About
Qlik is a data analytics and business intelligence platform offering data integration, visualization, and analytics capabilities for enterprises that need to move data from multiple sources into insights. Founded in 1993 in Lund, Sweden and taken private by Thoma Bravo in 2016 for approximately $3 billion, Qlik generates approximately $1 billion in annual revenue. The company is known for its associative analytics engine (QlikView) and its modern analytics platform (Qlik Sense), with a recent strategic focus on data integration through its acquisition of Talend.
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.
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