Data Collection

Data Collection

Data collection is the foundation of any successful cloud migration project. Dr Migrate supports multiple data collection methods to ensure you can gather the infrastructure and application data needed for accurate assessment and planning, regardless of your environment or security requirements.

Choose Your Data Collection Method

Dr Migrate provides two primary data collection approaches, each designed for different scenarios and organizational requirements:

Data Collection Methods Comparison

Feature DMC Azure Migrate
Deployment Local jump box Local appliance (OVA/VHD templates or ZIP file)
Data Storage Dr Migrate managed service or Customer’s Azure tennant Customer’s Azure tenant
Network Access Data is collected locally, customer decides when data is uplaoded to Dr M instance Requires Azure connectivity
Platform Support VMware, Hyper-V, Physical VMware, Hyper-V, Physical, Databases, Web Apps
Security In-memory credentials, encrypted results Azure security baseline, customer-managed encryption, private endpoints
Integration Direct Dr Migrate upload Azure Migrate project integration

Getting Started

Select the method that best fits your environment and requirements:

For Streamlined Dr Migrate Deployment

For Organizations Using Azure Migrate

Data Collection Workflow

  1. Discovery - Collect infrastructure and application metadata
  2. Analysis - Process data through Dr Migrate’s AI engine
  3. Planning - Generate migration recommendations and roadmaps
  4. Execution - Track progress and manage migration waves

Next Steps

Once you’ve collected your data, explore how Dr Migrate transforms it into actionable insights:

Need Help Choosing? Both data collection methods are fully supported and will provide the data needed for Dr Migrate’s analysis. DMC is ideal for streamlined deployment with Dr Migrate’s purpose-built collector, while Azure Migrate is perfect for organizations already invested in Microsoft’s migration ecosystem or requiring advanced discovery capabilities for databases and web applications.