Data Stack Benchmarks

What tools are leading data teams using? We analyzed tens of thousands of companies to understand how they build their modern data stacks across warehousing, BI, transformation, ingestion, and data catalogs. Find out which tools are becoming industry standards in modern data stacks.

Tool Adoption by Category

Data extracted from external sources such as theirstack.com and may only be approximately correct. The analysis covers five key categories of the modern data stack: data warehouses (e.g., Snowflake, BigQuery), business intelligence tools (e.g., Looker, Tableau), data transformation (e.g., dbt, Dataform), data ingestion (e.g., Fivetran, Airbyte), and data catalogs (e.g., Atlan, Alation). Numbers are aggregated across company segments from startups to enterprises and should be used as general indicators of tool adoption rather than exact figures.