Is Databricks down?
Databricks is up
Right now
No. No incidents reported.
Last checked (2026-10-10 07:12 UTC) from status.databricks.com · every 120s
For agents
proceed
Proceed.
GET upbutler.com/status/databricks/status.agent.json
MCP: upstream_status {"service":"databricks"}
Lakehouse, model serving and SQL warehouses.
What Databricks says
Operational
Taken as is from Databricks's own status API. Incident titles and component names below are theirs.
Open status.databricks.comWhat UpButler measured
There is no keyless endpoint of Databricks that says anything useful, so UpButler does not probe it. To check your own Databricks account, add a monitor with your key: it is yours alone and catches what a shared probe cannot.
Databricks components
11 operational
- Agent BricksOperational
- AI/BIOperational
- ComputeOperational
- Databricks AppsOperational
- Databricks SQLOperational
- GenieOperational
- LakebaseOperational
- LakeflowOperational
- NotebooksOperational
- Unity CatalogOperational
- Free EditionOperational
Databricks incidents, last 90 days
- 2026-07-13: no record
- 2026-07-14: no record
- 2026-07-15: no record
- 2026-07-16: no record
- 2026-07-17: no record
- 2026-07-18: no record
- 2026-07-19: no record
- 2026-07-20: no record
- 2026-07-21: no record
- 2026-07-22: no record
- 2026-07-23: no record
- 2026-07-24: no record
- 2026-07-25: no record
- 2026-07-26: no record
- 2026-07-27: no record
- 2026-07-28: no record
- 2026-07-29: no record
- 2026-07-30: no record
- 2026-07-31: no record
- 2026-08-01: no record
- 2026-08-02: no record
- 2026-08-03: no record
- 2026-08-04: no record
- 2026-08-05: no record
- 2026-08-06: no record
- 2026-08-07: no record
- 2026-08-08: no record
- 2026-08-09: no record
- 2026-08-10: no record
- 2026-08-11: no record
- 2026-08-12: no record
- 2026-08-13: no record
- 2026-08-14: no record
- 2026-08-15: no record
- 2026-08-16: no record
- 2026-08-17: no record
- 2026-08-18: no record
- 2026-08-19: no record
- 2026-08-20: no record
- 2026-08-21: no record
- 2026-08-22: no record
- 2026-08-23: no record
- 2026-08-24: no record
- 2026-08-25: no record
- 2026-08-26: no record
- 2026-08-27: no record
- 2026-08-28: no record
- 2026-08-29: no record
- 2026-08-30: no record
- 2026-08-31: no record
- 2026-09-01: no record
- 2026-09-02: no record
- 2026-09-03: no record
- 2026-09-04: no record
- 2026-09-05: no record
- 2026-09-06: no record
- 2026-09-07: no record
- 2026-09-08: no record
- 2026-09-09: no record
- 2026-09-10: no record
- 2026-09-11: no record
- 2026-09-12: no record
- 2026-09-13: no record
- 2026-09-14: no record
- 2026-09-15: no record
- 2026-09-16: no record
- 2026-09-17: no record
- 2026-09-18: no record
- 2026-09-19: no record
- 2026-09-20: no record
- 2026-09-21: no record
- 2026-09-22: no record
- 2026-09-23: no record
- 2026-09-24: no record
- 2026-09-25: no record
- 2026-09-26: no record
- 2026-09-27: no record
- 2026-09-28: no record
- 2026-09-29: no record
- 2026-09-30: no record
- 2026-10-01: no record
- 2026-10-02: no record
- 2026-10-03: no record
- 2026-10-04: no record
- 2026-10-05: no record
- 2026-10-06: no record
- 2026-10-07: no record
- 2026-10-08: no record
- 2026-10-09: no record
- 2026-10-10: no incident reported
Each bar is a day, coloured by the worst incident Databricks reported. It is their incident record, not a measurement of uptime.
No finished incidents on record yet since 2026-10-10. UpButler keeps what Databricks publishes for 90 days from the day it starts tracking a service.
Get alerted when Databricks goes down
No account. One email when Databricks reports an incident, one when it is over. You confirm the address first, and every email has a one-click unsubscribe.
Or follow the RSS feed. On UpButler? Add Databricks as a dependency to route it to Slack, Teams or a webhook.
Status badge
Show Databricks's current status in a README or an internal wiki. It updates by itself.
[](https://upbutler.com/status/databricks)Tell your outage from Databricks's
Declare that your project depends on Databricks. When one of your monitors fails while Databricks has an incident that began around the same time, UpButler tags your incident "likely upstream" with their incident linked, says so in the alert and the AI report, and tells your on-call agent not to change code.
npx upbutler init finds the dependency from your env var names and packages. The catalog, dependencies and upstream-aware incidents are on every plan, including Free.
# upbutler.yaml
dependencies:
- databrickscurl -s https://upbutler.com/status/databricks/status.agent.json{
"schema": "upbutler.upstream-status/v1",
"service": "databricks",
"verdict": "proceed",
"status": "operational",
"reason": "No incidents reported",
"retryAfterSec": null,
"incident": null,
"probe": null
}Questions
- Is Databricks down right now?
- No. As of 2026-10-10 07:12 UTC, Databricks is up. This page reads the status again every 2 minutes.
- Where does this status come from?
- From Databricks's own status API at https://status.databricks.com. UpButler reads it once for everyone (not once per visitor) every 2 minutes with conditional requests, and shows it unchanged: incident titles and component names are Databricks's words.
- Can I get an alert when Databricks goes down?
- Yes, without an account: enter your email on this page, confirm the link we send, and you get one email when Databricks reports an incident and one when it is over. There is also an RSS feed at https://upbutler.com/status/databricks/feed.rss. Teams on UpButler can route the same alert to Slack, Teams or a webhook.
- How can my agent or app check Databricks status?
- Fetch https://upbutler.com/status/databricks/status.agent.json: a small JSON document with a verdict (proceed, retry, fallback or pause) and retryAfterSec. No key is needed. The same answer is an MCP tool, upstream_status {"service":"databricks"}, on https://upbutler.com/mcp/public.
- How do I know whether an outage is mine or Databricks's?
- Add "databricks" to the dependencies of your UpButler workspace. When one of your monitors fails while Databricks has an incident that began around the same time, your incident is tagged "likely upstream" with their incident linked, and your on-call agent is told not to change code.
Also check
UpButler is not affiliated with Databricks. Status and incident text belong to Databricks and are read from their public status source; the probe result is UpButler's own measurement.