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.
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.
San Francisco CA modern BI platform; raised $50M+; combines SQL workbook flexibility with governed semantic layer for both analysts and business users.
Omni Analytics is a modern business intelligence platform founded in 2022 and headquartered in San Francisco, California. The company was founded by Jamie Davidson, Colin Zima, and Chris Merrick — former leaders at Looker — to build the next generation of business intelligence that combines the analytical flexibility data analysts need with the governed consistency and ease of use that business users require. Looker's LookML-based approach was powerful but required significant data modeling effort before business users could self-serve; Omni aimed to reduce that friction while preserving the governance benefits.\n\nOmni raised $50 million in funding from investors including Andreessen Horowitz, First Round Capital, and notable angels from the data industry. Its platform allows analysts to write SQL directly in a workbook interface, then promote SQL logic to a shared semantic model that becomes the governed foundation for self-service business users. This progressive disclosure approach means analysts can move fast with raw SQL while the data team iterates on the governed model in parallel — unlike LookML, which requires the full model to be defined before any self-service is possible.\n\nOmni's query engine connects directly to the data warehouse for all computations, ensuring that results always reflect the latest data without caching layers that can serve stale results. The platform supports Snowflake, BigQuery, Redshift, Databricks, and DuckDB. Its AI features include natural language to SQL generation and automated insight generation, making it accessible to business users who are not comfortable writing SQL. Omni positions itself as an upgrade path for organizations outgrowing legacy BI tools or frustrated by the complexity of Looker.
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