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Markets2026-06-15 · source-backed
Up sharply from $134B in early 2026, with annualized revenue at $5.4B (up more than 65% YoY) and AI products contributing about $1.4B (The Information). CEO Ali Ghodsi says the company is IPO-ready but waiting for market conditions. The $1.4B AI line is the number to watch, that's how fast the AI-product revenue is real and not just a narrative.
Each link below shares sources, entities, or timing with this story.
Databricks released Unity AI Gateway / Shared entity: Databricks / What happened next
Linked by a graph relationship (Databricks released Unity AI Gateway); both cover Databricks; picks up the Databricks thread on 2026-08-08.
Databricks partners with Stripe / Shared entity: Databricks / What happened next
Linked by a graph relationship (Databricks partners with Stripe); both cover Databricks; picks up the Databricks thread on 2026-07-25.
Databricks partners with Stripe / Shared entity: Databricks / Earlier coverage
Linked by a graph relationship (Databricks partners with Stripe); both cover Databricks; earlier Databricks coverage from 2026-03-01.
Databricks partners with Ramp / Shared entity: ARR / Shared topic / What happened next
Linked by a graph relationship (Databricks partners with Ramp); both cover ARR; overlapping topics (company, product).
Databricks invested in Replit / Shared entity: ARR / What happened next
Linked by a graph relationship (Databricks invested in Replit); both cover ARR; picks up the ARR thread on 2026-08-11.
Databricks released Omnigent / Shared entity: Databricks / What happened next
Linked by a graph relationship (Databricks released Omnigent); both cover Databricks; picks up the Databricks thread on 2026-08-03.
Databricks acquired Neon / Shared entity: ARR / What happened next
Linked by a graph relationship (Databricks acquired Neon); both cover ARR; picks up the ARR thread on 2026-08-03.
Databricks uses MCP / Shared entity: Databricks / Shared topic / What happened next / Tension
Linked by a graph relationship (Databricks uses MCP); both cover Databricks; overlapping topics (company, databrick).