Databricks Rate Limits

Overview

Handle Databricks API rate limits with exponential backoff, token-bucket queuing, and idempotent job submissions. The API returns HTTP 429 with a Retry-After header when limits are exceeded. The SDK has built-in retries for transient errors, but custom logic is needed for bulk operations.

Prerequisites

• databricks-sdk installed
• Understanding of async patterns for batch operations

Instructions

Step 1: Understand Rate Limit Tiers

Databricks enforces per-endpoint, per-workspace rate limits.