DatriseAI-first ETL

Mailjet SMS ClickHouse

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

How Datrise loads Mailjet SMS into ClickHouse

Datrise syncs Mailjet SMS's records, events, and configuration objects into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Mailjet SMS: SaaS or API data source for analytics and warehouse sync.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Mailjet SMS entities map to ClickHouse

Mailjet SMS entityClickHouse objectNotes
recordsmailjet_sms_recordsid PK · custom fields → JSON or Map columns
eventsmailjet_sms_eventsDateTime64 events
configuration objectsmailjet_sms_configuration_objectsid PK · linked to mailjet_sms_records

FAQ

How does Datrise handle Mailjet SMS's custom fields in ClickHouse?

Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.

How does the Mailjet SMS to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

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