Is Databricks down right now?
Real-time status check for Databricks (databricks.com). We check from multiple regions to give you an accurate picture.
Checking Databricks…
Pinging databricks.com from our servers
About Databricks
Databricks is a lakehouse platform for data engineering, analytics, and AI/ML. Workspaces, clusters (Spark-based compute), Delta Lake, Unity Catalog (governance), Mosaic AI, and Databricks SQL are the main subsystems. It runs on AWS, Azure and GCP, and incidents are usually scoped to one cloud region. A workspace incident blocks notebook access; a cluster-provisioning incident blocks new compute but leaves running jobs alone; a Unity Catalog incident blocks new queries but cached permissions may keep existing sessions alive. Scheduled jobs (DLT pipelines, model training runs) hit failures first when a region is unhealthy.
The official Databricks status page is available as a reference. Official pages are useful, but they can lag behind real outages by minutes or hours. Independent monitoring catches issues faster.
What outages typically look like on Databricks
Cloud platforms like Databricks rarely fail in obvious, all-or-nothing ways. The more common pattern is regional degradation: one availability zone or geographic region runs at half capacity while the rest of the platform serves traffic normally. Status pages often show green because the aggregate health check is still passing, even when a customer's specific workload is degraded.
Independent monitoring helps catch these silent regional incidents earlier. Visual Sentinel checks databricks.com from EU and US simultaneously every 60 seconds, so a US-only outage surfaces as a clear divergence between regions, not as ambient noise. We also measure TLS handshake time and DNS resolution time as separate signals, which often drift upward 10-30 minutes before the underlying outage hits hard failure.
Common signs Databricks is having issues
- HTTP 503 (service unavailable) or 504 (gateway timeout) responses creeping into normal browsing
- Sustained response-time drift above the Databricks baseline (usually a precursor to hard failures)
- TLS handshake delays during peak hours that resolve at quieter times
- Regional disparity: one geography returns errors while another stays healthy
What to do when Databricks is degraded
If Databricks is degraded, check whether the issue is global or regional first. A regional outage often resolves within 15-45 minutes once provider engineering notices the imbalance and shifts traffic. A global outage usually correlates with a status-page incident within the first 5-10 minutes; if status is still green but databricks.com is broken from multiple regions, treat it as a real incident and check social channels for community reports.
Monitor Databricks automatically.
Get instant alerts when Databricks goes down, before your users notice. Visual Sentinel checks every 60 seconds from multiple global regions.
60-second checks
Know within a minute, day or night.
Multi-region
EU & US checks. Catch regional outages.
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Provider status references
lag real outages.
Faster detection
Provider status references are often updated manually, lagging 5-30 minutes behind. Visual Sentinel catches issues within 60 seconds, automatically.
Instant alerts
Get notified via WhatsApp, Slack, Discord, or email the moment Databricks goes down. No need to manually check status pages.
Multi-region verification
We check from EU and US simultaneously. A service might be down in one region but not another. We catch regional outages.
Historical data
Track Databricks uptime over time. See trends, identify recurring issues, and make informed decisions about your dependency.