DatriseAI-first ETL

k6 Cloud to MicroStrategy Integration

AI-first ETL from k6 Cloud into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads k6 Cloud into MicroStrategy

Datrise syncs k6 Cloud's test runs, thresholds, checks, metrics, virtual users, and response times into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

k6 Cloud: Load testing runs and performance thresholds.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How k6 Cloud entities map to MicroStrategy

k6 Cloud entityMicroStrategy objectNotes
test runsk6_cloud_test_runsid PK · custom fields → flattened columns
thresholdsk6_cloud_thresholdsid PK · linked to k6_cloud_test_runs
checksk6_cloud_checksid PK · linked to k6_cloud_test_runs
metricsk6_cloud_metricsid PK · linked to k6_cloud_test_runs

FAQ

How does Datrise handle k6 Cloud's custom fields in MicroStrategy?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MicroStrategy types.

How does the k6 Cloud to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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