DatriseAI-first ETL

Source connector

Tyntec SMS connector

Tyntec SMS integration for databases, warehouses and BI tools

Global SMS delivery and message status callbacks. Datrise captures Tyntec SMS entities such as SMS messages, recipients, delivery reports, senders, countries and message costs, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 6 objects, 4 sync as upserts keyed on the primary key and 2 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `tyntec_sms_sms_messages`) with a schema derived from the Tyntec SMS API rather than a flattened CSV, in any of the 43 supported destinations.

Datrise is in early access: pick a destination below to open the Tyntec SMS pipeline page, and join the waitlist to get the Tyntec SMS connector with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Tyntec SMS data Datrise extracts

Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.

ObjectLanding tableSync mode
SMS messagestyntec_sms_sms_messagesAppend-only, incremental by timestamp
recipientstyntec_sms_recipientsUpsert by primary key, incremental on updated-at
delivery reportstyntec_sms_delivery_reportsUpsert by primary key, incremental on updated-at
senderstyntec_sms_sendersUpsert by primary key, incremental on updated-at
countriestyntec_sms_countriesUpsert by primary key, incremental on updated-at
message coststyntec_sms_message_costsAppend-only, incremental by timestamp

Popular destinations for Tyntec SMS

Choose a destination below to open the ready pipeline page.

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    Airtable

    Relational spreadsheet destination for ops and go-to-market teams.

    View pipeline
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    Amazon Athena

    Serverless SQL over S3 data lake tables.

    View pipeline
  • A
    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
  • A
    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
  • A
    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
  • A
    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

    View pipeline
  • A
    Apache Superset

    Open-source BI for SQL exploration, charts, and dashboard publishing.

    View pipeline
  • A
    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

    View pipeline
  • A
    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

Tyntec SMS connector FAQ

What Tyntec SMS data does the connector extract?
6 objects: SMS messages, recipients, delivery reports, senders, countries and message costs. Each lands in its own table with types preserved; history-style objects (2: SMS messages and message costs) load as append-only streams.
Is the Tyntec SMS integration incremental?
Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
Where can I load Tyntec SMS data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Tyntec SMS → destination pair has its own page with the object-to-table mapping.

Related sources

Other sources in the same category, each with its own connector page.

Early access

Launch your Tyntec SMS pipeline with guided onboarding

Join the waitlist to get priority access for Tyntec SMS integrations with guided setup, schema-aware mapping, and production-grade incremental sync.