Oracle Database to Redash Integration

How Datrise loads Oracle Database into Redash

Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes 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

Oracle Database: Oracle Database for enterprise transactional workloads.

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

How Oracle Database entities map to Redash

Oracle Database entity	Redash object	Notes
tables	`oracle_db_tables`	id PK · custom fields → flattened columns for query results
rows	`oracle_db_rows`	id PK · linked to oracle_db_tables
schemas	`oracle_db_schemas`	id PK · linked to oracle_db_tables
indexes	`oracle_db_indexes`	id PK · linked to oracle_db_tables

FAQ

How does Datrise handle Oracle Database'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 Oracle Database to Redash sync stay up to date?

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

Related pipelines

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