DownForAI

Databricks status: API, auth, latency & outage reports

Databricks is operational right now. DownForAI checks Databricks every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.

Operational
Last probe 3h ago·1 surface
Probe-monitoredMedium confidence
📡 Official status page →📚 Docs →💳 Pricing →
100.0%
24h Uptime
123ms
p50 Network Latencyⓘ
321ms
p95 Network Latencyⓘ
0
Incidents (30d)

DownForAI monitors Databricks via a single endpoint — Databricks Platform. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 123 ms; p95: 321 ms.

Databricks has had no tracked outages since joining the DownForAI monitoring network. No community reports have been filed in the last 24 hours.

Data confidence: MediumLast checked 3h 12m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

✅
Operational
Everything works normally
✓Checked by our probes · 321ms
Verified 3h ago
✓No major incident reported
ⓘNo reports in the last 24h

Having issues?

Help other users by reporting if Databricks is not working for you.

0reports in the last 24 hours

Surface Health

Databricks PlatformOperational
HTTP 200p50 123ms3h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about Databricks

No confirmed provider-side issue detected
DownForAI currently sees Databricks as operational based on available monitoring signals.
Signal source: official status page · Monitoring confidence: Medium
Still having trouble?

The issue may be account-specific, regional, network-related, or related to authentication, billing, quota, or rate limits.

Incident history (30d)

✓No incidents recorded in the past 30 days.

Reported symptoms

No user reports for Databricks in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Databricks is a data and AI platform (Spark compute, Delta Lake, Mosaic AI model serving, notebooks) deployed per cloud region on AWS, Azure and GCP. Incidents are regional and per component, published on Databricks' status page.

What we monitor
Workspaces (regional) — UI and API
Compute / jobs — Clusters and workflows
Model serving — Mosaic AI endpoints
Ecosystem dependencies
AWS / Azure / GCP infrastructure

Fallback alternatives

What to use if this service is down

Databricks is down in your region
AWS SageMaker or Google Vertex AI (monitored on DownForAI) cover managed ML on the same clouds
Major migration

How we monitor

DownForAI checks monitored AI service surfaces on a rotating schedule, roughly every 75 minutes per surface, from a single centralized probe infrastructure. For services with an official machine-readable status page, we use that official status signal when available. For other services, we perform a basic public-surface check. Some services block datacenter probes; in those cases we mark them as “Monitoring limited” instead of treating a failed probe as a confirmed outage. Status is classified as Operational, Degraded, or Outage. Network latency (check response time) measures how long the monitored endpoint took to respond to our probe — it is not model inference speed, time-to-first-token, or tokens-per-second performance. We are independent of all providers listed and receive no compensation to report any particular status.

Databricks statusEmbed this status badgeREADME · docs ▾
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