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TDSQL

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

TDSQL

Source
Supported
Target
Supported

Build production data pipelines with TDSQL

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

TDSQL data source overview

TDSQL is Tencent's high-performance distributed database with strong consistency, high availability, SQL compatibility, and horizontal scaling.

Real-time movement

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

Full and incremental flow

Use TDSQL 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 TDSQL pipeline patterns

1

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

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

2

TDSQL to Kafka for CDC event streaming

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

3

TDSQL 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 TDSQL data pipelines

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

TDSQL connector FAQ

Can BladePipe use TDSQL as a source?

Can BladePipe write data into TDSQL?

What is a common TDSQL data pipeline?