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