DatriseAI-first ETL

Rocket Chat to Yellowfin Integration

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

How Datrise loads Rocket Chat into Yellowfin

Datrise syncs Rocket Chat's channels, messages, users, teams, threads, and reactions into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Rocket Chat: Self-hosted team chat and channel history.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Rocket Chat entities map to Yellowfin

Rocket Chat entityYellowfin objectNotes
channelsrocket_chat_channelsid PK · custom fields → flattened 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 Yellowfin?

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

How does the Rocket Chat to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Rocket Chat to Yellowfin 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.