databricks.com
Every change Venpo has recorded in databricks.com's public terms, privacy policies and subprocessor lists – each one linked to the document version it came from.
Change activity
Recorded changes per month, last 24 months
What changed, and what it meant
Each entry is a diff between two stored versions of a document, marked by whether it weakened, improved or left the customer position unchanged.
databricks.com Subprocessors
Parties databricks.com declares in its own subprocessor list and DPA annexes. Nothing here is inferred from traffic or page scripts.
| Subprocessor | Stated purpose |
|---|---|
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Provision of technical and operational support to Databricks Services. |
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Provide customer communications, including in-product messaging and email. |
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Monitor quality of service in responding to support tickets. |
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Customer support. |
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Customer support ticketing. |
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Cloud Service Provider |
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AI-backed services |
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Cloud Service Provider |
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|
Cloud Service Provider |
|
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Provision of technical and operational support to Databricks Services. |
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Provision of technical and operational support to Databricks Services. |
|
|
Provision of technical and operational support to Databricks Services. |
Explore the next levels
See how databricks.com's declared subprocessors connect, level by level.
The documents behind the timeline
Venpo re-reads each of these on a schedule and keeps every version. When one moves, it becomes an entry in the timeline above.
FAQs
Where does this come from?
databricks.com's own published pages: privacy policies, terms, DPA annexes and the subprocessor list. Nothing on this page is inferred from network traffic or page scripts, and nothing is supplied by databricks.com directly.
How often are the documents read?
Every monitored document is re-read on a schedule, and each fetch is stored as a dated version. The page as it existed on any given date is retained, so a change can always be traced back to the two versions it sits between.
What counts as a change?
A difference between two stored versions that alters meaning. Reformatting, reordering and typographic fixes are recorded but not surfaced as entries in the timeline.
What do the three counts on each row mean?
They are the clauses that weakened the customer position, the clauses that improved it, and the ones that changed without shifting it either way – read off the redline for that version.
Can I be told when something changes?
Yes. Tracking a vendor sends the redline the day a document moves, along with a plain-language summary of what it changed. The first vendor is free.
Is Venpo affiliated with databricks.com?
No. Venpo reads publicly published documents and records what changed in them. databricks.com is not involved in producing this page.