k6 Cloud to Redash Integration
AI-first ETL from k6 Cloud into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads k6 Cloud into Redash
Datrise syncs k6 Cloud's test runs, thresholds, checks, metrics, virtual users, and response times 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
k6 Cloud: Load testing runs and performance thresholds.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How k6 Cloud entities map to Redash
| k6 Cloud entity | Redash object | Notes |
|---|---|---|
| test runs | k6_cloud_test_runs | id PK · custom fields → flattened columns for query results |
| thresholds | k6_cloud_thresholds | id PK · linked to k6_cloud_test_runs |
| checks | k6_cloud_checks | id PK · linked to k6_cloud_test_runs |
| metrics | k6_cloud_metrics | id PK · linked to k6_cloud_test_runs |
FAQ
How does Datrise handle k6 Cloud'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 k6 Cloud to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for k6 Cloud
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