Instagram to Redash Integration

How Datrise loads Instagram into Redash

Datrise syncs Instagram's media posts, stories, comments, followers, reach metrics, and profile insights 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

Instagram: Organic profile content and audience insights.

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

How Instagram entities map to Redash

Instagram entity	Redash object	Notes
media posts	`instagram_media_posts`	id PK · custom fields → flattened columns for query results
stories	`instagram_stories`	id PK · linked to instagram_media_posts
comments	`instagram_comments`	id PK · linked to instagram_media_posts
followers	`instagram_followers`	id PK · linked to instagram_media_posts

FAQ

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

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

Related pipelines

Early access

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