Convex Dev → PostgreSQL
AI-first ETL from Convex Dev into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Convex Dev into PostgreSQL
Datrise syncs Convex Dev'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
Convex Dev: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Convex Dev entities map to PostgreSQL
| Convex Dev entity | PostgreSQL object | Notes |
|---|---|---|
| records | convex_dev_records | id PK · custom fields → jsonb columns |
| events | convex_dev_events | timestamptz events |
| configuration objects | convex_dev_configuration_objects | id PK · linked to convex_dev_records |
FAQ
How does Datrise handle Convex Dev'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 Convex Dev 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 Convex Dev
- Convex Dev → MySQL
- Convex Dev → Microsoft SQL Server
- Convex Dev → Oracle Database
- Convex Dev → Snowflake
- Convex Dev → Google BigQuery
- Convex Dev → Amazon Redshift
- Convex Dev → Databricks SQL Warehouse
- Convex Dev → ClickHouse
- Convex Dev → DuckDB
- Convex Dev → Amazon Athena
- Convex Dev → Amazon S3 Data Lake
- Convex Dev → Azure Data Lake Storage
Early access
Connect Convex Dev 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.