DatriseAI-first ETL

Source connector

k6 Cloud connector

k6 Cloud integration for databases, warehouses and BI tools

Load testing runs and performance thresholds. Datrise captures k6 Cloud entities such as test runs, thresholds, checks, metrics, virtual users and response times, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 6 objects, 4 sync as upserts keyed on the primary key and 2 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `k6_cloud_test_runs`) with a schema derived from the k6 Cloud API rather than a flattened CSV, in any of the 43 supported destinations.

Datrise is in early access: pick a destination below to open the k6 Cloud pipeline page, and join the waitlist to get the k6 Cloud connector with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What k6 Cloud data Datrise extracts

Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.

ObjectLanding tableSync mode
test runsk6_cloud_test_runsAppend-only, incremental by timestamp
thresholdsk6_cloud_thresholdsUpsert by primary key, incremental on updated-at
checksk6_cloud_checksUpsert by primary key, incremental on updated-at
metricsk6_cloud_metricsAppend-only, incremental by timestamp
virtual usersk6_cloud_virtual_usersUpsert by primary key, incremental on updated-at
response timesk6_cloud_response_timesUpsert by primary key, incremental on updated-at

Popular destinations for k6 Cloud

Choose a destination below to open the ready pipeline page.

  • A
    Airtable

    Relational spreadsheet destination for ops and go-to-market teams.

    View pipeline
  • A
    Amazon Athena

    Serverless SQL over S3 data lake tables.

    View pipeline
  • A
    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
  • A
    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
  • A
    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
  • A
    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

    View pipeline
  • A
    Apache Superset

    Open-source BI for SQL exploration, charts, and dashboard publishing.

    View pipeline
  • A
    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

    View pipeline
  • A
    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

k6 Cloud connector FAQ

What k6 Cloud data does the connector extract?
6 objects: test runs, thresholds, checks, metrics, virtual users and response times. Each lands in its own table with types preserved; history-style objects (2: test runs and metrics) load as append-only streams.
Is the k6 Cloud integration incremental?
Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
Where can I load k6 Cloud data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each k6 Cloud → destination pair has its own page with the object-to-table mapping.

Related sources

Other sources in the same category, each with its own connector page.

Early access

Launch your k6 Cloud pipeline with guided onboarding

Join the waitlist to get priority access for k6 Cloud integrations with guided setup, schema-aware mapping, and production-grade incremental sync.