DatriseAI-first ETL

Hellobaton to PostgreSQL Integration

AI-first ETL from Hellobaton into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Hellobaton into PostgreSQL

Datrise syncs Hellobaton's projects, tasks, milestones, companies, users, and time entries into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Hellobaton: Client onboarding and implementation project tracking.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Hellobaton entities map to PostgreSQL

Hellobaton entityPostgreSQL objectNotes
projectshellobaton_projectsid PK · custom fields → jsonb columns
taskshellobaton_tasksid PK · linked to hellobaton_projects
milestoneshellobaton_milestonesid PK · linked to hellobaton_projects
companieshellobaton_companiesid PK · linked to hellobaton_projects

FAQ

How does Datrise handle Hellobaton's custom fields in PostgreSQL?

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

How does the Hellobaton to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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