DatriseAI-first ETL

k6 Cloud to Spreadsheets Integration

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

How Datrise loads k6 Cloud into Spreadsheets

Datrise syncs k6 Cloud's test runs, thresholds, checks, metrics, virtual users, and response times into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

k6 Cloud: Load testing runs and performance thresholds.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How k6 Cloud entities map to Spreadsheets

k6 Cloud entitySpreadsheets objectNotes
test runsk6_cloud_test_runsid PK · custom fields → JSON-stringified cells for nested fields
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 Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

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