In short : Databricks runs at $6.9b ARR growing 80% YoY versus Snowflake's 34%, a $1.6b gap. Its AI products run at $1.7b, ~25% of ARR & growing faster than the company, the token-path pattern that drove Salesforce's $3.6b Fin acquisition. Companies on the token path grow explosively, even at massive scale.

The gap between Databricks and Snowflake was $490m in March. It’s $1.6b today.

Databricks announced it has crossed $6.9b in annualized recurring revenue, up 80% year over year.¹ Snowflake’s latest quarter puts them at roughly $5.3b ARR, up 34%.

Each quarter adds more distance.

AI is pulling Databricks away. The fastest-growing companies in AI & software either sell AI directly, resell inference, or sit as its first derivative.²

Databricks’ AI products run at $1.7b annualized, ~25% of total ARR, up from $1b six months ago, expanding faster than the company overall. Salesforce’s $3.6b Fin purchase is the same pattern: the former Intercom’s AI agent reached $100m ARR, also ~25% of the total, up 350%.³

Where does this put Databricks among peers? At $134b in private valuation, Databricks now sits among the largest enterprise software companies in the world, smaller than SAP but larger than Salesforce. Among data-focused companies, only SAP is bigger. At 80%, it outpaces every peer near its scale: CrowdStrike at 26%, Shopify at 34%.

The companies that land in the token path, or its first derivative, accelerate explosively, even at $6.9b.

The road to revenue growth is paved with gold tokens.

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1. CNBC : Databricks revenue growth tops 80% to $6.9 billion annualized ↩︎

2. The First Derivative of Inference ↩︎

3. Salesforce Signs Definitive Agreement to Acquire Fin ↩︎