Estimate Azure Database for MySQL Flexible Server costs with HA and read replicas.
Last verified: May 2026
$0.115/GB/month storage cost.
Backup storage at $0.095/GB/month. Range: 1-35 days.
Output will appear here...Your team's MySQL workloads currently on a self-managed VM cluster ($800/month + 10 hr/week of admin time). The estimator models migration to Flexible Server: General Purpose D4ds_v4 (4 vCores, 16 GB RAM) = $290/month, 100 GB storage = $12/month, zone-redundant HA = +$290/month for the standby = $592/month total. Cost is comparable to self-managed but operational burden disappears (no patching, no backup management, automatic failover). Net win: similar cost, ~10 hours/week reclaimed, plus higher availability.
Azure Database for MySQL Flexible Server is the recommended deployment option for MySQL workloads on Azure, offering granular compute and storage scaling, zone-redundant high availability, and a burstable tier for dev/test environments. Costs depend on the compute tier (Burstable, General Purpose, or Business Critical), vCores, memory, storage size, IOPS (pre-provisioned or auto-scale), backup retention, and high availability configuration. Additional costs include read replicas and network egress. This estimator helps you model monthly costs across all tiers with region-specific pricing for production planning.
The estimator computes Azure MySQL Flexible Server cost across components: compute tier (Burstable, General Purpose, Business Critical) × vCores × hourly rate × hours, storage GB × per-GB-month rate, IOPS (free tier + pre-provisioned IOPS at per-IOPS rate, or auto-scaling at consumed IOPS rate), backup retention beyond 7 days, HA premium (zone-redundant doubles compute), and read replica costs. Output presents per-component breakdown.
Burstable B-series is dramatically cheaper than General Purpose for dev/test (~$30/month vs $150+/month for similar specs). The catch: CPU is throttled to baseline when burst credits are exhausted. Fine for dev/test workloads with intermittent load; problematic for sustained production traffic.
Stop the database when not in use for 100% compute cost savings during downtime. Flexible Server can be stopped for up to 30 days (longer requires manual stop+start). For dev databases that sit idle nights and weekends, automating stop/start via Logic Apps can cut costs 60-70%.
Pre-provisioned IOPS make sense ONLY for predictable, sustained high-IOPS workloads. For variable workloads, IOPS auto-scaling pays per actual consumption. Always run the workload at default IOPS first, monitor actual peak IOPS, then decide whether to pre-provision.
Was this tool helpful?
Disclaimer: This tool runs entirely in your browser. No data is sent to our servers. Always verify outputs before using them in production. AWS, Azure, and GCP are trademarks of their respective owners.