DatriseAI-first ETL

Rocket Chat Azure Synapse

AI-first ETL from Rocket Chat into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Rocket Chat into Azure Synapse

Datrise syncs Rocket Chat's records, events, and configuration objects into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Rocket Chat: SaaS or API data source for analytics and warehouse sync.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Rocket Chat entities map to Azure Synapse

Rocket Chat entityAzure Synapse objectNotes
recordsrocket_chat_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsrocket_chat_eventsdatetime2 events
configuration objectsrocket_chat_configuration_objectsid PK · linked to rocket_chat_records

FAQ

How does Datrise handle Rocket Chat's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Rocket Chat to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

Connect Rocket Chat to Azure Synapse the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.