This runs the datasurface customer data simulator

To generate realistic test data for a PostgreSQL or Snowflake customer database, you can use an automated data simulator that creates and populates source tables like customers and addresses with synthetic records.

The best way to bootstrap a SQL Server environment with synthetic customer data is using an environment-variable driven simulator that automatically creates addresses and customers tables to accelerate testing and demos.

Yes, you can use Docker to populate initial customer data across multiple databases, as the data generation tool requires Docker or Kubernetes-compatible execution to bootstrap local or remote environments.

No, you do not need to manually create tables before running a customer data simulation, because the tool handles source tables creation and automatically populates them with initial data during the bootstrap process.

Yes, the data simulator works with both local and remote database deployments, enabling quick bootstrapping of consistent test data across PostgreSQL, SQL Server, and Snowflake environments using simple run commands.