Is Databricks down right now?
Live public-endpoint check for Databricks (databricks.com). We compare EU and US reachability, then link to the provider reference for broader context.
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.
The live tool above checks the public databricks.com endpoint from EU and US and compares status and response time. That can reveal a regional reachability problem, but it cannot prove that every Databricks product, API, or customer workload is healthy. Use the provider status reference and test the specific workflow you depend on before drawing a broader conclusion.
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 appears degraded, compare the EU and US endpoint results, open the provider status reference, and test the exact region and workflow your system uses. Preserve failed request IDs and timestamps for support. If only one region fails, use an alternate region only when your own failover policy permits it.
Monitor Databricks automatically.
Get independent alerts when the public Databricks endpoint fails a confirmed check. Start free with 10-minute checks, or use Business or Agency for 60-second uptime checks.
10-minute free checks
Business and Agency support 60-second uptime checks.
Multi-region
EU & US checks. Catch regional outages.
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Provider status references
and endpoint checks answer different questions.
Independent endpoint evidence
The regional check can show that a public endpoint is failing before or after a provider posts broader incident context. It does not validate every product subsystem.
Scheduled alerts
Monitor Databricks on your plan interval and route confirmed endpoint failures through the notification channels available to your workspace.
Multi-region verification
EU and US results can reveal a regional difference in public-endpoint reachability. Confirm the exact workflow and provider region you use.
Historical data
Track Databricks uptime over time. See trends, identify recurring issues, and make informed decisions about your dependency.