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Tunnel

BladePipe supports Tunnel as a source and target connector for real-time data integration, migration, synchronization, and analytics pipelines.

Tunnel

Source
Supported
Target
Supported

Build production data pipelines with Tunnel

BladePipe supports Tunnel for database migration, real-time synchronization, CDC replication, verification, and analytics pipelines.

Tunnel data source overview

MaxCompute Tunnel is Alibaba Cloud's big data computing service data channel, supporting high-speed data upload and download.

Real-time movement

Build low-latency Tunnel pipelines for fresh data delivery instead of batch-only movement.

Full and incremental flow

Use Tunnel as a source for initial loading and ongoing incremental updates where the connector supports it.

Operational control

BladePipe provides visual setup, monitoring, retry, and operational workflows for production data teams.

Enterprise readiness

Keep network, permission, and deployment choices explicit so pipelines fit cloud, BYOC, and on-premise environments.

Common Tunnel pipeline patterns

1

Tunnel to ClickHouse, StarRocks, or Doris for real-time analytics

Synchronize Tunnel changes into analytical databases so orders, users, and business metrics can be queried with low latency.

2

Tunnel to Kafka for CDC event streaming

Convert Tunnel table changes into CDC events for message-driven services, search indexing, and real-time consumers.

3

Tunnel to PostgreSQL, MySQL, or Oracle for database migration

Combine full migration with incremental catch-up to reduce downtime and keep source and target data consistent.

Start building Tunnel data pipelines

Use BladePipe to connect Tunnel, validate the first pipeline, and move from testing to production with observable data movement.

Tunnel connector FAQ

Can BladePipe use Tunnel as a source?

Can BladePipe write data into Tunnel?

What is a common Tunnel data pipeline?