Tyntec SMS to DuckDB Integration
AI-first ETL from Tyntec SMS into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Tyntec SMS into DuckDB
Datrise syncs Tyntec SMS's SMS messages, recipients, delivery reports, senders, countries, and message costs into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Tyntec SMS: Global SMS delivery and message status callbacks.
DuckDB: In-process analytics database for fast local OLAP.
How Tyntec SMS entities map to DuckDB
| Tyntec SMS entity | DuckDB object | Notes |
|---|---|---|
| SMS messages | tyntec_sms_sms_messages | id PK · custom fields → JSON or STRUCT 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 DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Tyntec SMS to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for Tyntec SMS
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