Check if AWS Databricks Databricks SQL Serverless is down, official outages, user-reported issues, and outages map.
AWS Databricks Databricks SQL Serverless is working normally
This chart displays the number of user-reported issues over the past 24 hours, grouped into 20-minute intervals. It's normal to see occasional reports, which may be due to individual user issues rather than a broader problem. We only consider an issue widespread if there are multiple reports within a short timeframe. Sign up for free to see more AWS Databricks status data.
IsDown has tracked 7 incidents for AWS Databricks Databricks SQL Serverless since started monitoring AWS Databricks status in January 2023. We collect data from 4522+ services, and normalize the data to give you a clear picture of the impact of the outage.
Date | Incident | Duration |
---|---|---|
Sep 25, 2024
09:24 AM EDT
|
Major
Starting at approximately 12:00 UTC September 25, 2024, customers may experience failures while a...
|
about 1 hour |
Jul 30, 2024
03:35 PM EDT
|
Minor
Databricks anticipates potential service disruptions beginning at 12:30 pm PST on July 30, 2024 d...
|
44 minutes |
Sep 18, 2023
03:04 PM EDT
|
Minor
We are investigating an issue with one of the Databricks services.
Incident Details:
...
|
about 11 hours |
Jul 19, 2023
04:28 PM EDT
|
Minor
A mitigation has been applied and the service is operational.
Incident Details:
- Da...
|
about 1 hour |
Jul 12, 2023
08:27 PM EDT
|
Minor
We are investigating an issue with one of the Databricks services.
Incident Details:
...
|
about 4 hours |
Jun 25, 2023
08:10 PM EDT
|
Minor
We have identified the problem with the Databricks service. Our team is continuing to work on a m...
|
about 21 hours |
Jun 13, 2023
05:18 PM EDT
|
Minor
Please be aware of the following incident that affected the Databricks Serverless SQL warehouse s...
|
36 minutes |
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Databricks SQL Serverless is a component for running SQL queries on data lakes without managing infrastructure, optimizing for performance and cost-efficiency within AWS Databricks.
Monitoring AWS Databricks since January 2023
Databricks SQL Serverless is part of AWS Databricks. Check the AWS Databricks's status.
0 incidents in 2025
AWS Databricks Databricks SQL Serverless is down. You can check AWS Databricks Databricks SQL Serverless status and incident details on the top of the page. IsDown continuously monitors AWS Databricks Databricks SQL Serverless official status page every few minutes. In the last 24 hours, there were 0 outages reported.
AWS Databricks Databricks SQL Serverless seems to be having problems. You can check AWS Databricks Databricks SQL Serverless status and incident details on the top of the page. The status is updated in almost real-time, and you can see the latest outages and issues affecting customers.
No, there is no ongoing official outage. Check on the top of the page if there are any reported problems by other users.
Currently there's no report of AWS Databricks Databricks SQL Serverless being slow. Check on the top of the page if there are any reported problems by other users.
IsDown monitors the AWS Databricks Databricks SQL Serverless official status page every few minutes. We also get reports from users like you. If there are enough reports about an outage, we'll show it on the top of the page.
AWS Databricks Databricks SQL Serverless last outage was on September 25, 2024 with the title "ES-1267093"
IsDown and DownDetector help users determine if AWS Databricks is having problems. The big difference is that IsDown is a status page aggregator. IsDown monitors a service's official status page to give our customers a more reliable source of information instead of just relying on reports from users. The integration allows us to provide more details about AWS Databricks's Outages, like incident title, description, updates, and the parts of the affected service. Additionally, users can create internal status pages and set up notifications for all their third-party services.
We check the status of the services you're monitoring every few minutes. We aggregate the status and outage information and normalize it. We also collect crowdsourced information to provide early warning signs.
We send you an alert whenever we detect a new incident or an update on the status of the services you're monitoring. You can customize the alerts to your needs to avoid alert fatigue.
Aggregate all the status information in a straightforward dashboard or internal status page. You can also send the information and alerts to your team's communication/monitoring/incident management tools, such as Slack, Datadog, Microsoft Teams, PagerDuty, and more.
IsDown offers an easy way to monitor AWS Databricks with maximum flexibility
IsDown monitors Databricks SQL Serverless for major outages. A major outage is when Databricks SQL Serverless experiences a critical issue that severely affects one or more services/regions. When AWS Databricks marks an incident as a major outage, IsDown updates its internal status, the customer status page and dashboard. Depending on the customer settings, IsDown will also send notifications.
IsDown monitors AWS Databricks status page for minor outages. A minor outage is when Databricks SQL Serverless experiences a small issue affecting a small percentage of its customer's applications. An example is the performance degradation of an application. When a minor outage occurs, IsDown updates its internal status and shares that information on the customer status page. Depending on the customer settings, IsDown will also send notifications.
IsDown collects all information from the outages published in AWS Databricks status page to provide the most accurate information. If available, we gather the title, description, time of the outage, status, and outage updates. Another important piece of information is the affected services/regions which we use to filter the notifications that impact your business.
IsDown monitors AWS Databricks and all their 12 components that can be affected by an outage. IsDown allows you to filter the notifications and status page alerts based on the components you care about. For example, you can choose which components or regions affect your business and filter out all other outages. This way you avoid alert fatigue in your team.
AWS Databricks and other vendors don't always report outages on time. Our crowdsourced status platform helps you stay ahead of outages. Users report issues and outages, sharing details on what problems they are facing. We use that info to provide early signs of outages. This way, even without an official update, you can stay ahead of possible problems.
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