Google BigQuery · Rate Limits

Google Bigquery Rate Limits

BigQuery enforces a layered set of quotas - per-project concurrent query/job counts, per-user/project query rate limits, table operation ceilings, streaming insert and Storage Write API throughput, and daily caps on certain destructive operations. Most quotas can be raised via Cloud Console quota requests for production workloads. The numbers below are the public defaults from the BigQuery quotas reference; always check the live page for the most current value for your region.

Google Bigquery Rate Limits is the machine-readable rate-limit profile for Google BigQuery on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 15 rate-limit definitions, measuring concurrent_requests, TB_per_day, requests_per_second, jobs_per_day, and rows_per_second.

The profile also includes 4 backoff/retry policies defined and response codes documented for throttled, quotaExceeded, and serverError.

Tagged areas include Data Warehouse, Analytics, Google Cloud, SQL, and Rate Limiting.

15 Limits Throttle: 429 Quota: 403
Data WarehouseAnalyticsGoogle CloudSQLRate Limiting

Limits

Concurrent interactive queries project
concurrent_requests
100
On-demand interactive queries; reservation slots have separate concurrency.
Concurrent legacy SQL queries project
concurrent_requests
100
Daily query usage project
TB_per_day
see quotas page
Configurable custom cost control on bytes billed per day.
API requests per user user/project
requests_per_second · second
100
Load jobs per table per day table
jobs_per_day · day
1500
Load jobs per project per day project
jobs_per_day · day
100000
Copy jobs per table per day table
jobs_per_day · day
100
Copy jobs per project per day project
jobs_per_day · day
100000
Export jobs per project per day project
jobs_per_day · day
100000
Streaming insert rows per second per project (US/EU multi-region) project
rows_per_second · second
see quotas page
Storage Write API throughput per project (US/EU) project
bytes_per_second · second
3000000000
3 GB/s default in US/EU multi-region; can be raised.
Storage Read API simultaneous streams project
streams
see quotas page
Maximum row size (DML/streaming) row
bytes
104857600
100 MB.
Maximum table column count table
columns
10000
Table operations per table per day (DML) table
operations_per_day · day
1500

Policies

Quota raises
Most quotas are soft and can be raised via the Google Cloud Console quotas page. Plan a 1-3 day lead time for review.
Backoff
Implement exponential backoff with jitter on 429 / 403 quotaExceeded responses. Reservation-aware clients should respect slot capacity.
Reservation isolation
When using capacity (Standard/Enterprise/Enterprise Plus) reservations, query concurrency is governed by allocated slots rather than the on-demand concurrent-query limit.
Streaming vs Storage Write
Prefer the Storage Write API over the legacy streaming insert API for new work; it has higher throughput, lower cost, and supports exactly-once semantics.

Sources