Google Data Studio · Rate Limits
Google Data Studio Rate Limits
Looker Studio (Data Studio) UI rate limits are enforced server-side and not numerically published; query throughput is principally bounded by the underlying data source. Looker Studio APIs and Looker (the platform) ship with monthly Query API and Admin API call allocations that vary by edition. Per-edition allocations are listed below.
13 Limits
Throttle: 429
Quota: 403
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Limits
Looker Query API - Standard edition instance
1000
Looker Admin API - Standard edition instance
1000
Looker Query API - Enterprise edition instance
100000
Looker Admin API - Enterprise edition instance
10000
Looker Query API - Embed edition instance
500000
Looker Admin API - Embed edition instance
100000
Conversational Analytics input tokens (Viewer) user
1000000
Token allocation per Viewer user per month; charged $3/M input tokens above (post-Oct 2026).
Conversational Analytics output tokens (Viewer) user
20000
Charged $20/M output tokens above (post-Oct 2026).
Conversational Analytics input tokens (Standard) user
2000000
Conversational Analytics output tokens (Standard) user
40000
Conversational Analytics input tokens (Developer) user
4000000
Conversational Analytics output tokens (Developer) user
80000
Looker Studio UI rate user
see Looker Studio internal limits
Looker Studio enforces internal request smoothing; effective throughput is bounded by the connected data source's quota.
Policies
Data-source bounded
Looker Studio dashboards make queries against the underlying data source (BigQuery, Sheets, MySQL, etc.); the data source's own quotas are usually the binding constraint, not Looker Studio itself.
API monthly buckets
Looker Query / Admin API call counts reset monthly per edition. Add-on call packs may be available via sales for higher volumes.
Token meter for Conversational Analytics
Free until 2026-09-30; afterwards billed at $3/M input + $20/M output beyond per-user monthly allocations.
Backoff
On 429 / 403 quotaExceeded, retry with exponential backoff; cache dashboard data via Looker's data action / extract scheduling features rather than re-querying live.