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Data Observability

Get comprehensive insights into your data pipelines with seamless integration to Spark, Airflow, dbt, and Flink. Visualize lineage, track dependencies, and monitor execution. Learn more about Observability →

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Lake

Run SQL queries, upload datasets, and collaborate on both public and private data. Every operation automatically captures lineage metadata for complete observability. Learn more about the Lake →

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Getting Started

The easiest way to get started is to send a POST request to our ingestion endpoint using cURL. Note, replace [OLEANDER-API-KEY] below with your API key. 
curl -X POST https://oleander.dev/api/v1/lineage \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer [OLEANDER-API-KEY]' \
  -d '{
    "eventType": "START",
    "eventTime": "2024-12-25T05:45:18.249Z",
    "run": {
      "runId": "e05c7916-6cbb-470e-b13b-25af0a757eac"
    },
    "job": {
      "namespace": "my-namespace",
      "name": "my-job"
    },
    "inputs": [{
      "namespace": "my-namespace",
      "name": "my-input"
    }],
    "producer": "https://github.com/OpenLineage/OpenLineage/blob/v1-0-0/client",
    "schemaURL": "https://openlineage.io/spec/1-0-5/OpenLineage.json#/definitions/RunEvent"
  }'
While you can manually construct and send OpenLineage events, we recommend using the client libraries or integrations:
  1. Use Client Libraries - Check out the Python client or Java client
  2. Set up Integrations - Explore our integrations for Airflow, Spark, and more
  3. Explore the Lake - Start running SQL queries and uploading datasets
  4. Chat with AI Assistants - Set up Ollie and Lea for automated incident investigation and compliance monitoring
Ready to get started? Check out our resources or dive into OpenLineage integration.