Gridly → PostgreSQL
AI-first ETL from Gridly into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Gridly into PostgreSQL
Datrise syncs Gridly's records, events, and configuration objects 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
Gridly: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Gridly entities map to PostgreSQL
| Gridly entity | PostgreSQL object | Notes |
|---|---|---|
| records | gridly_records | id PK · custom fields → jsonb columns |
| events | gridly_events | timestamptz events |
| configuration objects | gridly_configuration_objects | id PK · linked to gridly_records |
FAQ
How does Datrise handle Gridly'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 Gridly 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
More destinations for Gridly
Early access
Connect Gridly to PostgreSQL the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.