Follow the recent outages and downtime for Databricks SQL in the table below.
Start Time |
Type |
Length |
Message |
Details |
|||||
---|---|---|---|---|---|---|---|---|---|
April 27, 2024 20:03 UTC |
MAINT |
about 2 hours |
Webapp Database SKU upgrade |
See more
|
|||||
April 20, 2024 17:03 UTC |
MAINT |
less than a minute |
Nephos DB Split Planned Maintenance |
See more
|
|||||
April 20, 2024 17:03 UTC |
MAINT |
about 2 hours |
Nephos DB Split Planned Maintenance |
See more
|
|||||
April 19, 2024 14:03 UTC |
MAINT |
less than a minute |
Nephos DB Split Planned Maintenance |
See more
|
|||||
April 19, 2024 14:03 UTC |
MAINT |
about 10 hours |
Nephos DB Split Planned Maintenance |
See more
|
|||||
2024-04-28 11:42:14 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-28 11:42:14 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-28 11:42:14 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-28 11:42:14 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more | |||||
2024-04-28 11:42:14 UTC UTC |
STATUS |
? minutes |
Sign in to view more status history. |
See more |
Sign Up for More Databricks SQL History
StatusGator has almost 4 years of Databricks SQL status history.
Databricks SQL status, last 24 hours:
Up: 22 hours
Warn: 0 minutes
Down: 0 minutes
Maintenance: 2 hours
We've been monitoring Databricks SQL outages since May 24, 2020.
Here's the history of service outages we've observed from the Databricks SQL Status Page:
Databricks SQL is an Analytics solution that StatusGator has been monitoring since May 2020. Over the past almost 4 years, we have collected data on on more than 1,279 outages that affected Databricks SQL users. When Databricks SQL publishes downtime on their status page, they do so across 479 components and 12 groups using 4 different statuses: up, warn, down, and maintenance which we use to provide granular uptime metrics and notifications.
More than 100 StatusGator users monitor Databricks SQL to get notified when it's down, is under maintenance, or has an outage. We've sent more than 4,900 notifications to our users about Databricks SQL incidents, providing transparency and peace of mind. You can get alerts by signing up for a free StatusGator account.
If Databricks SQL is having system outages or experiencing other critical issues, red down notifications appear on the status page. In most cases, it means that core functions are not working properly, or there is some other serious customer-impacting event underway.
Warn notifications are used when Databricks SQL is undergoing a non-critical issue like minor service issues, performance degradation, non-core bugs, capacity issues, or problems affecting a small number of users.
Databricks SQL posts separate notifications for planned maintenance work. StatusGator will notify subscribers when Databricks SQL enters a pre-planned maintenance window, keeping you up to date.
Databricks SQL does not publish a feed of proactive maintenance events on their status page at this time. If they do, be sure to let us know and we'll aggregate Databricks SQL maintenance events into your unified calendar.
When Databricks SQL posts issues on their status page, we collect the main headline message and include that brief information or overview in notifications to StatusGator subscribers.
When Databricks SQL has outages or other service-impacting events on their status page, we pull down the detailed informational updates and include them in notifications. These messages often include the current details about how the problem is being mitigated, or when the next update will occur.
Because Databricks SQL has several components, each with their individual statuses, StatusGator can differentiate the status of each component in our notifications to you. This means, you can filter your status page notifications based on the services, regions, or components you utilize. This is an essential feature for complex services with many components or services spread out across many regions.
Can’t find your question? Email us to arrange a time to discuss. We’d love to chat!
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