Cloud Service Mapper

Data Migration

Dataflow

Managed Apache Beam execution service for batch and streaming pipelines used in large-scale data migration and transformation.

Service information

Dataflow

Shortname: Dataflow

Huawei equivalent shortnames: CDM

Keywords: data migration, etl, pipeline

Differences vs Huawei

Capability scope differs: Dataflow is a code-first Beam runtime for streaming and batch, while CDM is more connector/task oriented and may require DLI/MRS for advanced processing parity.
Pricing model differs: Dataflow is metered by compute/memory and related pipeline resources over runtime, while CDM pricing is based on migration task resources and time windows.

Migration to Huawei

Map discovery/assessment, replication pipeline, and cutover checkpoints with rollback criteria. For Google Cloud Dataflow, the direct Huawei equivalence layer is CDM; validate feature-by-feature parity for control plane, data plane, and operational behavior before cutover.
Use a composed Huawei migration pattern where needed: CDM + DLI + DWS. Treat CDM as the core equivalent capability and use the additional services to cover integration, security, observability, and governance gaps.
Pricing model difference: Google Cloud usually bills migration tooling/runtime and transferred-data charges plus target infrastructure costs; Huawei usually bills MGC governance plus SMS/OMS/CDM/DRS runtime, migrated volume, and network/resource consumption. Recalculate TCO with peak load, request volume, retention period, and cross-region/interconnect traffic before production migration.

Huawei equivalent service

Cloud Data Migration

Shortname: CDM

General function: Data Migration

Connector-based data migration and transformation service for structured and semi-structured data movement.

Keywords: data migration, etl, sync