Dev Tools
Google BigQuery
Google BigQuery is a serverless, petabyte-scale data warehouse on Google Cloud built for fast SQL analytics and machine learning over large datasets.
What is Google BigQuery?
Google BigQuery fundamentally changed what was possible with analytical data at scale when it launched publicly in 2011. The ability to run SQL queries across petabytes of data in seconds — without managing any server infrastructure — made enterprise-scale analytics accessible to companies that previously couldn't afford the hardware. BigQuery is now the cornerstone of the modern data stack for thousands of organizations, sitting downstream of their data pipelines and upstream of their BI tools and ML training workflows. At major data-driven companies, BigQuery runs thousands of queries per day, from ad-hoc analyst explorations to production dashboards that refresh on schedules tied to business reporting cycles.
BigQuery's "serverless" architecture means Google manages all compute allocation — queries automatically receive resources proportional to their complexity from a shared multi-tenant cluster. This architecture enables impressive scalability but also means that during periods of elevated demand across Google's analytics customer base, query slot contention can increase and query execution times grow. Organizations using BigQuery Reservations (dedicated slot commitments) are insulated from this, but the majority of users on on-demand pricing share a pool that can exhibit variable performance. BigQuery's pricing model — which charges per byte scanned — also means that infrastructure issues affecting query planning can lead to unexpectedly expensive queries.
When BigQuery is experiencing issues, data teams hit: query jobs submitting successfully but entering a "PENDING" state that lasts far longer than normal before execution begins, queries that typically run in seconds timing out after the default 6-hour job deadline, Data Transfer Service scheduled jobs not triggering or failing silently, the BigQuery Console in Google Cloud returning blank results for completed queries, streaming inserts returning 503 errors that cause data pipeline gaps, and Looker or other BI tools that query BigQuery directly showing stale data because their scheduled extraction jobs couldn't connect.
Google BigQuery status is tracked on Outage.gg alongside the broader Google Cloud Platform status. For data teams with SLA-bound reporting dashboards, the live status page is an important first check when query times start spiking unexpectedly.
Common Google BigQuery Problems
Issues users most frequently report when Google BigQuery is having problems.
Login failures
Players are unable to sign in, receiving authentication errors or being stuck on loading screens.
Matchmaking problems
Unable to find or join matches, long queue times, or errors when trying to connect to game servers.
Disconnections mid-session
Getting unexpectedly kicked from active sessions, losing in-game progress or items.
In-game store & purchases
Cannot load the in-game store, complete purchases, or received items are not appearing in inventory.
Frequently Asked Questions
Common questions about Google BigQuery outages and server status.
You can check the live Google BigQuery server status at outage.gg/services/google-bigquery. The page shows real-time community-submitted outage reports, an hourly trend chart, and the current health status.
Google BigQuery can stop working for a number of reasons including scheduled maintenance windows, unexpected server failures, network infrastructure problems, or DDoS attacks. Check the live status page on Outage.gg for the latest community reports to see if others are experiencing the same issue.
Go to outage.gg/services/google-bigquery and click the "Report an Issue" button. Your report is counted immediately and helps confirm whether a problem is widespread. Reports from multiple users trigger a status change visible to everyone watching the page.
Click the "Notify Me" bell button on the Google BigQuery status page at outage.gg/services/google-bigquery. Create a free account and we will send you an email the moment Google BigQuery comes back online — no app download required.
Many services maintain official status pages with planned maintenance notices. Outage.gg aggregates real-time community-reported outages which often surface faster than official channels.
Related Services
Other services you might be tracking alongside Google BigQuery.
