k6 Cloud to ThoughtSpot Integration
AI-first ETL from k6 Cloud into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads k6 Cloud into ThoughtSpot
Datrise syncs k6 Cloud's test runs, thresholds, checks, metrics, virtual users, and response times into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
k6 Cloud: Load testing runs and performance thresholds.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How k6 Cloud entities map to ThoughtSpot
| k6 Cloud entity | ThoughtSpot object | Notes |
|---|---|---|
| test runs | k6_cloud_test_runs | id PK · custom fields → flattened columns for searchable fields |
| 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the k6 Cloud to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
More destinations for k6 Cloud
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