What should I use for scheduled data movement into BigQuery?

For scheduled data movement into BigQuery, the best choice depends on where the data is coming from and how much transformation you need:

Best default options

• BigQuery Data Transfer Service (BQ DTS)
  Use this when you want managed, scheduled imports from supported sources like:

  • Google Ads, YouTube, Google Sheets, etc.
  • Some external SaaS and partner sources
  • Recurring transfers with minimal setup

• Cloud Scheduler + Cloud Run/Cloud Functions + BigQuery API
  Use this when you need a custom scheduled pipeline:

  • Pulling data from an API, SFTP, database, or custom source
  • Doing lightweight transformation before loading
  • Full control over schedule and logic

• Cloud Composer / Workflows
  Use this for more complex orchestration:

  • Multiple steps and dependencies
  • Retries, branching, monitoring
  • Coordinating loads, transforms, and downstream jobs

• Dataflow
  Use this when you need large-scale ETL/streaming or heavy transformation:

  • Batch or streaming pipelines
  • High volume data movement
  • More advanced processing

Quick recommendation

• Simple scheduled ingest from supported sources → BigQuery Data Transfer Service
• Custom source or API-based ingestion → Cloud Scheduler + Cloud Run/Functions
• Complex workflows → Cloud Composer
• Big data transformation/movement → Dataflow

If you tell me the source system and whether you need transformation, I can recommend the exact service.