Azure data migration tool
Assists cloud teams to plan, cost, and schedule migrations into Azure data services by estimating duration, throughput, and recommended migration approaches.
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About This Tool
Conceptually, users supply source_type, source_connection, target_service, data_size_gb, and bandwidth; the tool applies rules to select an approach (lift-and-shift or re-platform) and computes duration, transfer costs, and resource requirements. Outputs include a migration plan, suggested Azure services, and a readiness assessment that can be exported as JSON or a document.
Core value comes from early visibility into migration workload, alignment with regional pricing, and the ability to simulate what happens under different bandwidth scenarios. Advanced users can enable incremental migration options, data validation checks, and dependency analysis to reduce risk before engaging data movement tooling.
Common use cases include migrating on-prem SQL Server to Azure SQL Database, moving data lakes to Azure Data Lake Storage, and transferring structured data to Synapse. The approach helps customers estimate costs, plan cutover windows, and communicate milestones to stakeholders.
How to Use
- Provide inputs: source_type, source_connection, target_service, data_size_gb, bandwidth_mbps, region.
- Choose migration strategy: lift-and-shift vs re-platform.
- Run calculation to produce duration, cost, and recommended pipelines.
- Review outputs and export a migration plan.
- Initiate the actual data movement with appropriate tools.
Frequently Asked Questions
Find Quick Answers
What data sources are supported?
What is the output?
Does it move data?
How is cost estimated?
What if bandwidth is limited?
Need to run multiple calculations?
Create a free account today to unlock unlimited daily runs, access advanced parameters, save your history, and request custom features.
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