DatriseAI-first ETL

Rocket Chat to Azure Synapse Integration

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 channels, messages, users, teams, threads, and reactions 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: Self-hosted team chat and channel history.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Rocket Chat entities map to Azure Synapse

Rocket Chat entityAzure Synapse objectNotes
channelsrocket_chat_channelsid PK · custom fields → NVARCHAR(MAX) JSON columns
messagesrocket_chat_messagesid PK · linked to rocket_chat_channels
usersrocket_chat_usersid PK · linked to rocket_chat_channels
teamsrocket_chat_teamsid PK · linked to rocket_chat_channels

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

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