Hellobaton to Redash Integration

How Datrise loads Hellobaton into Redash

Datrise syncs Hellobaton's projects, tasks, milestones, companies, users, and time entries into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Hellobaton: Client onboarding and implementation project tracking.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Hellobaton entities map to Redash

Hellobaton entity	Redash object	Notes
projects	`hellobaton_projects`	id PK · custom fields → flattened columns for query results
tasks	`hellobaton_tasks`	id PK · linked to hellobaton_projects
milestones	`hellobaton_milestones`	id PK · linked to hellobaton_projects
companies	`hellobaton_companies`	id PK · linked to hellobaton_projects

FAQ

How does Datrise handle Hellobaton's custom fields in Redash?

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

How does the Hellobaton to Redash sync stay up to date?

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

Related pipelines

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