Azure Synapse Analytics Billing Explained | Control Azure Synapse Analytics Cost
Azure Synapse Analytics is a powerful analytics service that combines big data and data warehousing capabilities. However, if not managed properly, Synapse costs can quickly spiral out of control. In this post, we’ll break down how Azure Synapse billing works and how you can control your usage to save money effectively.
🔍 Key Billing Components in Azure Synapse
- 1. Dedicated SQL Pools: Charged per DWU (Data Warehouse Unit) per hour, whether the pool is running or paused.
- 2. Serverless SQL Pools: Charged per TB of data processed. Ideal for ad-hoc queries on data in your data lake.
- 3. Apache Spark Pools: Charged based on vCore hours used by the Spark nodes.
- 4. Data Movement & Storage: Additional costs apply for data storage, external tables, and staging operations.
💡 Tips to Control Costs in Synapse
- Pause Dedicated SQL Pools when not in use to stop billing for compute.
- Use Serverless Pools for exploratory analysis to avoid unnecessary provisioning costs.
- Monitor queries to avoid scanning large datasets—filter data early using WHERE clauses.
- Leverage Cost Management Tools in Azure Portal to set budgets and alerts.
- Enable Auto-Pause and Auto-Resume settings on Dedicated SQL Pools.
- Review Workload Usage via built-in Synapse monitoring and diagnostic logs.
📉 Real World Cost Saving Strategy
One common strategy is to:
- Run heavy workloads using Dedicated SQL Pools during off-peak hours.
- Use Serverless SQL Pools for reporting dashboards and minimal data exploration.
- Consolidate storage using ADLS Gen2 and query data using
OPENROWSETor external tables. - Automate pause/resume with Logic Apps or PowerShell scripts.
📺 Watch the Full Tutorial
For a detailed walkthrough and demo, check out the video below:
This blog post was created with assistance from ChatGPT and Gemini AI to ensure technical accuracy and clarity.
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