Tyntec SMS to PostgreSQL Integration
AI-first ETL from Tyntec SMS into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Tyntec SMS into PostgreSQL
Datrise syncs Tyntec SMS's SMS messages, recipients, delivery reports, senders, countries, and message costs 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
Tyntec SMS: Global SMS delivery and message status callbacks.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Tyntec SMS entities map to PostgreSQL
| Tyntec SMS entity | PostgreSQL object | Notes |
|---|---|---|
| SMS messages | tyntec_sms_sms_messages | id PK · custom fields → jsonb columns |
| recipients | tyntec_sms_recipients | id PK · linked to tyntec_sms_sms_messages |
| delivery reports | tyntec_sms_delivery_reports | id PK · linked to tyntec_sms_sms_messages |
| senders | tyntec_sms_senders | id PK · linked to tyntec_sms_sms_messages |
FAQ
How does Datrise handle Tyntec SMS'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 Tyntec SMS 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 Tyntec SMS
- Tyntec SMS → MySQL
- Tyntec SMS → Microsoft SQL Server
- Tyntec SMS → Oracle Database
- Tyntec SMS → Snowflake
- Tyntec SMS → Google BigQuery
- Tyntec SMS → Amazon Redshift
- Tyntec SMS → Databricks SQL Warehouse
- Tyntec SMS → ClickHouse
- Tyntec SMS → DuckDB
- Tyntec SMS → Amazon Athena
- Tyntec SMS → Amazon S3 Data Lake
- Tyntec SMS → Azure Data Lake Storage
Early access
Connect Tyntec SMS to PostgreSQL the easy way
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