Unleash to Redash Integration

How Datrise loads Unleash into Redash

Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events 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

Unleash: Open-source feature flags and rollout strategies.

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

How Unleash entities map to Redash

Unleash entity	Redash object	Notes
feature toggles	`unleash_feature_toggles`	id PK · custom fields → flattened columns for query results
strategies	`unleash_strategies`	id PK · linked to unleash_feature_toggles
environments	`unleash_environments`	id PK · linked to unleash_feature_toggles
projects	`unleash_projects`	id PK · linked to unleash_feature_toggles

FAQ

How does Datrise handle Unleash'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 Unleash to Redash sync stay up to date?

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

Related pipelines

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