“Data warehouse” hits all-time high on Google Trends

Google Trends: “data warehouse” (US, monthly)

Bar chart showing monthly Google Trends index for 'data warehouse' from 2016 to 2026. Interest hovered between 15-20 for a decade, then spiked to 100 in February 2026 — an all-time high.

“Data lake” shows the same pattern. But vendor-specific searches aren’t keeping up.

YoY change: category vs. vendor searches (Feb 2025 vs. Feb 2026)

Horizontal bar chart comparing YoY % change (Feb 2025 vs Feb 2026) for generic and vendor terms. 'Data lake' +426%, 'data warehouse' +400%, Databricks +30%, Snowflake +8%, BigQuery -11%, Redshift -17%.

Key Takeaways

Google searches for “data warehouse” hit an all-time high in Feb 2026, up +400% YoY — “data lake” is up +426%
Vendor searches lag far behind: Snowflake (+8%), Databricks (+30%), while BigQuery (-11%) and Redshift (-17%) are down
The gap between category and vendor interest suggests early education — new entrants exploring the concept before shopping for products
AI agents that demand high-quality, unified data may be driving this new wave of interest in data infrastructure

Methodology

Google Trends, monthly, US only, Jan 2016 – Feb 2026. Generic terms (“data warehouse”, “data lake”) use raw search term data, each on its own 0–100 scale. Vendor terms (Snowflake, Databricks, BigQuery, Redshift) use topic MIDs on a shared comparable scale. YoY compares Feb 2025 vs Feb 2026. Data pulled March 2, 2026.

James Riso

Founder, Riso Group

James is a data and AI strategy consultant who helps companies build scalable analytics infrastructure and data-driven growth strategies. Connect on LinkedIn.