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, in the API Commons Rate Limits shape.
It captures 7 rate-limit definitions, measuring requests_per_second, concurrent_queries, concurrency_slots, minutes_per_query, and nodes_per_pool.
Limit state is signalled in the retryAfter, remainingSubscriptionReads, and remainingSubscriptionWrites response headers, and an exhausted limit returns HTTP 429.
This profile was written by API Evangelist and has not been verified against a page the provider published; treat every limit as unconfirmed until a dated transcription replaces it.
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.
retryAfterremainingSubscriptionReadsremainingSubscriptionWrites
generated, dated 2026-05-05.
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
Work with this as data
Every rate limit here is available over the APIs.io API and to AI agents over MCP.