Teradata to ClickHouse Integration
AI-first ETL from Teradata into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Teradata into ClickHouse
Datrise syncs Teradata's tables, rows, schemas, indexes, primary indexes, and query history into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Teradata: Teradata analytical database for enterprise workloads.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Teradata entities map to ClickHouse
| Teradata entity | ClickHouse object | Notes |
|---|---|---|
| tables | teradata_d_tables | id PK · custom fields → JSON or Map columns |
| rows | teradata_d_rows | id PK · linked to teradata_d_tables |
| schemas | teradata_d_schemas | id PK · linked to teradata_d_tables |
| indexes | teradata_d_indexes | id PK · linked to teradata_d_tables |
FAQ
How does Datrise handle Teradata's custom fields in ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Teradata to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
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