DatriseAI-first ETL

Tyntec SMS to Sisense Integration

AI-first ETL from Tyntec SMS into Sisense. Governed entities, incremental sync, typed landing tables.

How Datrise loads Tyntec SMS into Sisense

Datrise syncs Tyntec SMS's SMS messages, recipients, delivery reports, senders, countries, and message costs into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.

Ideal for embedded analytics on an in-memory engine.

Endpoints

Tyntec SMS: Global SMS delivery and message status callbacks.

Sisense: Analytics platform with elastic data models and embedded analytics.

How Tyntec SMS entities map to Sisense

Tyntec SMS entitySisense objectNotes
SMS messagestyntec_sms_sms_messagesid PK · custom fields → flattened columns for the cube
recipientstyntec_sms_recipientsid PK · linked to tyntec_sms_sms_messages
delivery reportstyntec_sms_delivery_reportsid PK · linked to tyntec_sms_sms_messages
senderstyntec_sms_sendersid PK · linked to tyntec_sms_sms_messages

FAQ

How does Datrise handle Tyntec SMS's custom fields in Sisense?

Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.

How does the Tyntec SMS to Sisense sync stay up to date?

It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.

Related pipelines

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