Databricks

How to track Databricks API changes

The Databricks API evolves without warning — endpoints move, parameters change, auth scopes tighten and old fields get deprecated. apik.dev watches the public Databricks API documentation for you: we scrape it on a schedule, diff every revision and grade each change as breaking or informational. Instead of re-reading the Databricks changelog by hand, you get a clean, dated record of exactly what changed — and why it matters.

Get notified when the Databricks API changes

Subscribe to Databricks and apik pages you by email or webhook the moment a change is detected — with the full diff, a severity grade and a short migration summary. Filter to Databricks breaking changes and deprecations only, so you hear about what will actually break your integration and nothing else.

How do I track Databricks API changes?

apik.dev tracks the Databricks API for you. We scrape the public Databricks API documentation on a schedule, diff every revision and grade what changed — so you never have to re-read the Databricks changelog by hand. Subscribe once and we monitor it continuously.

How do I get notified when the Databricks API changes?

When apik detects a Databricks API change, you're notified by email or webhook within hours — with the full diff, a severity grade (breaking vs. informational) and a short migration summary. You can choose to be alerted on breaking changes only.

What kinds of Databricks API changes does apik detect?

Endpoint changes, base-URL changes, authentication and parameter changes, schema changes and deprecations. Every Databricks API change is categorised and severity-graded so you can triage at a glance.

How often is the Databricks API checked for changes?

apik re-checks the public Databricks documentation on a daily schedule. The most recent check for Databricks ran on Jul 26, 2026.

Don't find out from a 500.

Subscribe to Databricks and we'll page you the moment a change ships — full diffs, severity grading and migration summaries.