— This guide will help you setup the Ingestion framework and connectors —

![Python version 3.9+](https://img.shields.io/badge/python-3.9%2B-blue)

OpenMetadata Ingestion is a simple framework to build connectors and ingest metadata of various systems through OpenMetadata APIs. It could be used in an orchestration framework(e.g. Apache Airflow) to ingest metadata. Prerequisites

  • Python >= 3.9.x

### Docs

Please refer to the documentation here https://docs.open-metadata.org/connectors

<img referrerpolicy=”no-referrer-when-downgrade” src=”https://static.scarf.sh/a.png?x-pxid=c1a30c7c-6dc7-4928-95bf-6ee08ca6aa6a” />

### TopologyRunner

All the Ingestion Workflows run through the TopologyRunner.

The flow is depicted in the images below.

TopologyRunner Standard Flow

![image](https://raw.githubusercontent.com/open-metadata/docs-v1/refs/heads/main/public/images/v1.9/features/ingestion/workflows/metadata/multithreading/single-thread-flow.png)

TopologyRunner Multithread Flow

![image](https://raw.githubusercontent.com/open-metadata/docs-v1/refs/heads/main/public/images/v1.9/features/ingestion/workflows/metadata/multithreading/multi-thread-flow.png)

Project links

Key dates

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  • Released:
Newer release available (1.13.3.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for openmetadata from gravatar.com openmetadata

Credits

Author: OpenMetadata Committers

License

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Requires

Python >=3.9

Provides Extra

airflow all all-dev-env amundsen athena atlas azure-sso azuresql backup bigquery bigtable cassandra clickhouse cockroach couchbase dagster data-insight databricks datalake-azure datalake-gcs datalake-s3 db2 db2-ibmi dbt deltalake deltalake-spark deltalake-storage dev docs domo doris druid dynamodb e2e-test elasticsearch exasol glue great-expectations great-expectations-1xx greenplum hive iceberg impala kafka kafkaconnect kinesis looker mlflow mongo mssql mssql-odbc mysql nifi openlineage opensearch oracle pandas pgspider pii-processor pinotdb playwright postgres powerbi presidio-analyzer presto pyarrow pymssql qliksense quicksight redash redpanda redshift sagemaker salesforce sample-data sap-hana sas singlestore sklearn slim snowflake ssrs starrocks superset tableau teradata test test-unit trino vertica

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Reason this release was yanked:

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