DatriseAI-first ETL

Trello Google BigQuery

AI-first ETL from Trello into Google BigQuery. Governed entities, incremental sync, typed landing tables.

How Datrise loads Trello into Google BigQuery

Datrise syncs Trello's boards, lists, cards, members, and activity logs into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.

Ideal for Google-stack analytics and ML on serverless infrastructure.

Endpoints

Trello: Kanban boards for tasks and lightweight project tracking.

Google BigQuery: Serverless analytics warehouse on GCP.

How Trello entities map to Google BigQuery

Trello entityGoogle BigQuery objectNotes
boardstrello_boardsid PK · custom fields → JSON or nested/repeated (STRUCT) columns
liststrello_listsid PK · linked to trello_boards
cardstrello_cardsid PK · linked to trello_boards
memberstrello_membersid PK · linked to trello_boards

FAQ

How does Datrise handle Trello's custom fields in Google BigQuery?

Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.

How does the Trello to Google BigQuery sync stay up to date?

It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.

Related pipelines

Early access

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