k6 Cloud to Spotfire Integration
AI-first ETL from k6 Cloud into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads k6 Cloud into Spotfire
Datrise syncs k6 Cloud's test runs, thresholds, checks, metrics, virtual users, and response times into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
k6 Cloud: Load testing runs and performance thresholds.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How k6 Cloud entities map to Spotfire
| k6 Cloud entity | Spotfire object | Notes |
|---|---|---|
| test runs | k6_cloud_test_runs | id PK · custom fields → flattened columns for visualizations |
| 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 Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the k6 Cloud to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
More destinations for k6 Cloud
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