# Databricks employees

entity: /record/databricks.md  
predicate: employees  
page: /record/databricks/employees  
as_of: 2026-11-01  

As of November 1, 2026, Databricks's employee count on the AsOf record is 10,000, dated January 31, 2026, from a primary source (databricks.com) and one further source (techcrunch.com). The record holds 1 claim on Databricks's employee count, 1 still open and 0 superseded, each dated and sourced; a replaced value is closed with an end date, never deleted.

## Current employees

What the record asserts on 2026-11-01.

- [Databricks](/record/databricks.md) | employees | 10,000 | valid 2026-01-31 to present | conf 0.95 | valid | [clm_88D12ABCD140](/claim/clm_88D12ABCD140.md)
  sources: https://techcrunch.com/2022/08/12/as-other-startups-slash-spending-and-hoard-cash-databricks-hits-accelerator/, https://www.databricks.com/legal/modern-slavery-policy-statement

## Every dated value

One claim per line, oldest first. Superseded claims stay visible.

- [Databricks](/record/databricks.md) | employees | 10,000 | valid 2026-01-31 to present | conf 0.95 | valid | [clm_88D12ABCD140](/claim/clm_88D12ABCD140.md)
  sources: https://techcrunch.com/2022/08/12/as-other-startups-slash-spending-and-hoard-cash-databricks-hits-accelerator/, https://www.databricks.com/legal/modern-slavery-policy-statement

## Questions this record answers

### What is Databricks's current employee count?

10,000, dated January 31, 2026, from a primary source (databricks.com) and one further source (techcrunch.com). The record asserts this claim as of November 1, 2026 (status valid, confidence 0.95).


## Get this data

- JSON: /v1/entities/databricks/employees (this fact) · /v1/entities/databricks?predicates=employees (with the entity's coverage; add as_of=YYYY-MM-DD for a date)
- MCP: timeline(entity: "databricks", predicates: ["employees"]) for every dated value · fetch(id: "/record/databricks/employees.md") for this page
- Entity twin: /record/databricks.md · timeline: /timelines/databricks.md

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AsOf is a temporal fact ledger: a structured, dated, sourced record of what is true and what changed, built for AI retrieval.