Azure Databricks · Rate Limits

Azure Databricks Rate Limits

Azure Databricks publishes detailed per-API rate limits at the workspace and account level for Jobs, Workspace, MLflow, SCIM, and other endpoints. Most limits are fixed; resource limits (clusters, jobs, MLflow runs, Vector Search) are also enforced. Throttled requests return HTTP 429. Some limits are negotiable through your Databricks account team.

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

It captures 23 rate-limit definitions, measuring requests_per_second, requests_per_minute, questions_per_minute, and queries_per_second.

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

Tagged areas include Analytics, Big Data, Lakehouse, Spark, and Rate Limiting.

23 Limits Throttle: 429
AnalyticsBig DataLakehouseSparkRate Limiting

Limits

DBFS API workspace
requests_per_second · second
30
Jobs API - create workspace
requests_per_second · second
20
Jobs API - run-now workspace
requests_per_second · second
20
Jobs API - runs/get workspace
requests_per_second · second
100
Jobs API - runs/submit workspace
requests_per_second · second
35
Account SCIM API - GET account
requests_per_second · second
20
Account SCIM API - LIST account
requests_per_minute · minute
240
Account SCIM API - PATCH account
requests_per_second · second
2
Account SCIM API - POST/PUT/DELETE account
requests_per_second · second
5
Workspace SCIM API - GET workspace
requests_per_minute · minute
255
Permissions API - GET workspace
requests_per_second · second
100
Permissions API - PATCH/PUT workspace
requests_per_second · second
30
Secrets API workspace
requests_per_minute · minute
1100
Token Management API workspace
requests_per_second · second
40
MLflow Tracking API (most endpoints) workspace
requests_per_second · second
120
MLflow search endpoints workspace
requests_per_second · second
7
Workspace export API workspace
requests_per_second · second
60
Workspace import API workspace
requests_per_second · second
30
Genie API (free tier) workspace
questions_per_minute · minute
5
Best-effort across all Genie spaces; raise via Databricks account team.
Genie UI questions workspace
questions_per_minute · minute
20
MCP servers (managed UC/VectorSearch/Genie) workspace
queries_per_second · second
50
MLflow Trace creation workspace
queries_per_second · second
50
Model Serving throughput target endpoint
queries_per_second · second
200
Soft target; not guaranteed.

Policies

Backoff
Honor Retry-After on 429 responses; use exponential backoff with jitter.
Limit raise via account team
Many limits marked "Fixed=No" can be raised by contacting your Azure Databricks account team.
Workspace vs account scope
Some limits are workspace-scoped, others account-scoped; check the per-API table.
Resource limits separate from rate limits
Azure Databricks also enforces resource caps (clusters, MLflow runs, Vector Search indexes, Unity Catalog objects) that are not API rate limits but block create operations once exceeded.

Sources