Stack Health Score
Score = 30-day uptime − penaltiesLatency >500ms: −2 | >1000ms: −5
Outages this month: −2 each
Degradations this month: −1 each
Uptime · Latency · Incidents
100.00%
UptimePercentage of time the API was available.
Only DOWN status impacts this metric.
174ms
Avg Latency
1,000+
APIs monitored
0
Outages
0
Degradations
This Month
About Databricks's Databricks
Databricks's Databricks runs large-scale data engineering, machine learning, and analytics on Databricks' lakehouse. Databricks was founded in 2013 by the creators of Apache Spark and Delta Lake.. The Databricks is used by developers worldwide for data pipelines, ML workflows, SQL analytics, Delta Lake management, cluster orchestration.
Probecast monitors the Databricks from 4 global regions (US West, US East, Europe, Asia Pacific) every 300 minutes, tracking uptime, latency and regional availability. Our real-time monitoring helps developers and teams understand the current health of Databricks's Databricks and get alerted the moment service degrades.
Why monitor Databricks?
If your product depends on Databricks for critical features, an outage on Databricks's side is an outage on your product. Probecast detects Databricks incidents before your users do, giving you time to communicate with customers, fall back to alternative services or pause background jobs gracefully.
Current status
As of the latest check, Databricks is operational. The 30-day uptime is 100.00%, with 0 incidents recorded this month. Average response latency across all regions is 174ms.
●Uptime History
Regional Status
US West
137ms
latency
US East
255ms
latency
Europe
148ms
latency
Asia Pacific
156ms
latency
Latency (24h)
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Frequently Asked Questions
Recent Incidents
No incidents recorded
This API has been stable
API Information
Monitored Endpoint
https://www.databricks.comProvider
Category
Databases & Data Platforms
Health Check
GET request
Check Interval
Every 5 minutes