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GaussDB to StarRocks: Build a Real-Time Analytics Layer on Top of Domestic Databases

As domestic technology stacks mature, more core systems are running on GaussDB. But analytical needs do not disappear. Teams still need low-latency dashboards, business analysis, and query acceleration without pushing that analytical pressure back onto the transactional system.

According to the latest NineData replication matrix, GaussDB -> StarRocks supports schema replication, full replication, incremental replication, and data comparison.

  • Continuously syncing GaussDB business data into StarRocks.
  • Separating transactional load from analytical query pressure.
  • Building a more complete domestic data stack from business system to analytics platform.

What NineData helps you do

  • Schema replication to initialize the target environment.
  • Full replication to load historical data.
  • Incremental replication to keep analytical data current.
  • Data comparison to support acceptance and verification.

Source-side preparation

  • Add NineData service addresses to the logical replication allowlist.
  • Set wal_level to logical.
  • Make sure max_replication_slots and max_wal_senders are greater than 1.
  • Tables should preferably have primary keys or unique keys.

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