Microsoft Azure Synapse Analytics Rate Limits
Azure Synapse Analytics has two layers of limits. (1) The management/control plane flows through Azure Resource Manager (ARM) and is throttled via the standard ARM token-bucket algorithm (250-token read bucket / 25 per sec; 200-token write bucket / 10 per sec per subscription per region). (2) The data plane has workload-specific limits — Dedicated SQL Pool concurrency by DWU (e.g., DW100c = 4 concurrent queries; DW30000c = 128 concurrent queries), Serverless SQL Pool query duration cap, Apache Spark Pool node cap per workspace, and Pipelines concurrency caps. Many limits can be raised by support request.
Microsoft Azure Synapse Analytics Rate Limits is the machine-readable rate-limit profile for Azure Synapse Analytics on the APIs.io network, conforming to the API Commons Rate Limits specification.
It captures 7 rate-limit definitions, measuring requests_per_second, concurrent_queries, concurrency_slots, minutes_per_query, and nodes_per_pool.
The profile also includes 5 backoff/retry policies defined and response codes documented for throttled, serviceUnavailable, and resourceGovernance.
Tagged areas include Analytics, Apache Spark, Big Data, Data Integration, and Data Warehouse.
Limits
Policies
Sources
- https://learn.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/memory-concurrency-limits
- https://learn.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-service-capacity-limits
- https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/request-limits-and-throttling