Amid the generative AI frenzy, a quieter revolution has been taking place: Open table formats—a foundational component of data lakehouses—are bringing full SQL functionality directly to the data lake.
The data lakehouse is fast becoming the primary architecture for delivering analytics, according to Dremio’s report The State of the Data Lakehouse, 2024. With 65% running a majority of analytics on lakehouses now, survey respondents cited cost efficiency and ease of use as the top reasons.
Data lakehouse adoption is on the rise and cost savings are key
- 70% of respondents say more than half of all analytics will be on the data lakehouse within three years, and 86% said their organization plans to unify analytics data.
- Over half (56%) expect they are saving more than 50% on analytics by moving to the data lakehouse; almost 30% of respondents from large enterprises with more than 10,000 employees expect their savings are greater than 75%.
- 42% moved from a cloud data warehouse to the data lakehouse—more than from any other environment. Top reasons for the shift were cost efficiency and ease of use.
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