> ## Content Index
> Fetch the complete content index at: https://www.theleftshift.com/llms.txt
> Use this file to discover other available public pages before exploring further.

# Databricks Eyes $1 bn Revenue from Data Warehouse Business
- URL: https://www.theleftshift.com/databricks-eyes-1-bn-from-data-warehouse-business/
- Published: 2025-06-12T08:17:28.000Z
- Updated: 2025-06-12T08:25:12.000Z
- Description: CEO Ali Ghodsi attributed the growth to customers realising that Databricks’ offering is more cost-effective than alternatives.
- Author: The Left Shift Bureau
- Tags: Data Warehouse, #a42

Databricks [expects](https://www.bloomberg.com/news/articles/2025-06-11/databricks-eyes-1-billion-in-sales-for-product-competing-with-snowflake?ref=theleftshift.com) its data warehousing business to nearly double in size this year, with Databricks SQL—its flagship analytics platform—on track to reach a $1 billion revenue run rate by the end of its fiscal year in January 2026, up from $600 million in December 2024, the company told *Bloomberg*.

CEO Ali Ghodsi attributed the growth to customers realising that Databricks’ offering is more cost-effective than alternatives. 

Databricks SQL directly competes with Snowflake, a leader in cloud data warehousing projected to generate $4.3 billion in product revenue by January 2026.

To sustain momentum, Databricks is launching a new database product and investing aggressively in AI innovation, acquisitions, and global expansion. 

Last month, Databricks [acquired](https://www.theleftshift.com/databr/) serverless Postgres startup Neon for $1 billion. 

“By bringing Neon into Databricks, we’re giving developers a serverless Postgres that can keep up with agentic speed, pay-as-you-go economics and the openness of the Postgres community," [Ali Ghodsi](https://www.linkedin.com/in/alighodsi/?ref=theleftshift.com), Co-Founder and CEO at Databricks, said.

The acquisition is expected to help Databricks eliminate the traditional limitations of databases that force compute and storage to scale together — a major inefficiency for AI workloads.

The company [raised $10 billion](https://www.databricks.com/company/newsroom/press-releases/databricks-raising-10b-series-j-investment-62b-valuation?ref=theleftshift.com) in Series J funding last year, bringing its valuation to $62 billion and securing a $5.25 billion credit facility.