DatriseAI-first ETL

Manatal to Apache Superset Integration

AI-first ETL from Manatal into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Manatal into Apache Superset

Datrise syncs Manatal's candidates, jobs, applications, pipeline stages, match scores, and clients into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Manatal: AI recruitment software with candidate scoring.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Manatal entities map to Apache Superset

Manatal entityApache Superset objectNotes
candidatesmanatal_candidatesid PK · custom fields → flattened columns for the explore UI
jobsmanatal_jobsid PK · linked to manatal_candidates
applicationsmanatal_applicationsid PK · linked to manatal_candidates
pipeline stagesmanatal_pipeline_stagesid PK · linked to manatal_candidates

FAQ

How does Datrise handle Manatal's custom fields in Apache Superset?

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

How does the Manatal to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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