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