Cost Analysis for Azure Synapse Analytics Components | Step-by-Step Guide
📘 Introduction
Azure Synapse Analytics offers a powerful, scalable analytics platform — but understanding its cost structure is critical to managing your budget. This guide walks you through the key pricing components of Synapse Analytics and how to analyze and optimize them.
🔍 Key Pricing Components in Synapse
| Component | Description | Billing Unit |
|---|---|---|
| Dedicated SQL Pool | Provisioned compute for high-performance T-SQL workloads | Per DWU-hour (Data Warehouse Unit) |
| Serverless SQL Pool | Pay-per-query model for querying external data (e.g., CSV, Parquet) | Per TB of data processed |
| Apache Spark Pool | On-demand Spark clusters for big data & machine learning | Per vCore-hour |
| Data Integration (Pipelines) | Used for orchestration and data movement (Synapse Pipelines) | Per activity run and data movement volume |
| Storage | Underlying ADLS Gen2 used for data lake and workspace artifacts | Per GB/month |
🧮 Example: Estimating Monthly Cost
1. Dedicated SQL Pool
DWU = 500 (DW500c)
Usage = 8 hours/day × 30 days = 240 hours
Cost = 500 DWU × $1.20/hr = $600/month2. Serverless SQL Pool
Queries = 2 TB processed/month
Cost = 2 × $5 = $10/month3. Apache Spark Pool
Usage = 4 vCores × 1 hour/day × 30 days = 120 vCore-hours
Cost = 120 × $0.34 = $40.80/month4. Data Integration
50 pipeline runs × $0.25/run = $12.50
+ 10 GB of data movement × $0.25/GB = $2.50
Total = $15/month📌 Cost Optimization Tips
- Pause Dedicated SQL Pools when not in use
- Use Serverless SQL Pools for ad-hoc queries and exploration
- Right-size Spark pools and limit auto-scale range
- Monitor pipeline activity and reduce unnecessary triggers
- Enable cost alerts and use Azure Cost Management dashboards
📈 Monitor and Analyze Costs
- Use Azure Cost Management + Billing to view usage reports
- Enable Synapse Workspace Diagnostic Settings to log billing and performance data
- Review Activity Logs and Pipeline Run History regularly
📺 Watch the Video Tutorial
📚 Credit: Content created with the help of ChatGPT and Gemini.
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