Gridly to Redash Integration
AI-first ETL from Gridly into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Gridly into Redash
Datrise syncs Gridly's grids, records, columns, languages, views, and translation statuses 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
Gridly: Localization and content grids for games and apps.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Gridly entities map to Redash
| Gridly entity | Redash object | Notes |
|---|---|---|
| grids | gridly_grids | id PK · custom fields → flattened columns for query results |
| records | gridly_records | id PK · linked to gridly_grids |
| columns | gridly_columns | id PK · linked to gridly_grids |
| languages | gridly_languages | id PK · linked to gridly_grids |
FAQ
How does Datrise handle Gridly'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 Gridly to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Gridly
Early access
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