DatriseAI-first ETL

Db2 Redash

AI-first ETL from Db2 into Redash. Governed entities, incremental sync, typed landing tables.

How Datrise loads Db2 into Redash

Datrise syncs Db2's records, events, and configuration objects into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Db2: SaaS or API data source for analytics and warehouse sync.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Db2 entities map to Redash

Db2 entityRedash objectNotes
recordsdb2_recordsid PK · custom fields → flattened columns for query results
eventsdb2_eventstemporal columns events
configuration objectsdb2_configuration_objectsid PK · linked to db2_records

FAQ

How does Datrise handle Db2's custom fields in Redash?

Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.

How does the Db2 to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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