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new 2263cf8b9b Add Heimdall to ecosystem tools list (#1602)
2263cf8b9b is described below
commit 2263cf8b9bdd5156ae62c629dfb9806634a7f9f9
Author: sanketjadhavSF <[email protected]>
AuthorDate: Mon Jul 27 20:41:45 2026 +0530
Add Heimdall to ecosystem tools list (#1602)
Added Heimdall as a new tool for data orchestration and job execution.
---
landing-pages/site/content/en/ecosystem/_index.md | 2 ++
1 file changed, 2 insertions(+)
diff --git a/landing-pages/site/content/en/ecosystem/_index.md
b/landing-pages/site/content/en/ecosystem/_index.md
index b072c7cef6..057e9612b0 100644
--- a/landing-pages/site/content/en/ecosystem/_index.md
+++ b/landing-pages/site/content/en/ecosystem/_index.md
@@ -193,6 +193,8 @@ Apache Airflow releases the [Official Apache Airflow
Community Chart](https://ai
[gusty](https://github.com/chriscardillo/gusty) - Create a DAG using any
number of YAML, Python, Jupyter Notebook, or R Markdown files that represent
individual tasks in the DAG. gusty also configures dependencies, DAGs, and
TaskGroups, features support for your local operators, and more. A fully
containerized demo is available
[here](https://github.com/chriscardillo/gusty-demo).
+[Heimdall](https://github.com/patterninc/heimdall) - A lightweight, pluggable
data orchestration and job execution platform (inspired by [Netflix
Genie](https://github.com/Netflix/genie)) that abstracts data infrastructure
behind a secure, consistent API. Airflow DAGs can submit and monitor jobs
across engines like Spark, Snowflake, Trino, Clickhouse, Starrocks, and more
without embedding credentials or infrastructure logic in the pipeline.
+
[Marquez](https://marquezproject.ai) - Marquez is an open source metadata
service that maintains data provenance, shows how datasets are consumed and
produced and centralizes dataset lifecycle management. Marquez can be used with
Apache Airflow as an OpenLineage backend.
[Meltano](https://www.meltano.com/) - Open source, self-hosted, CLI-first,
debuggable, and extensible ELT tool that embraces
[Singer](https://www.singer.io) for extraction and loading, leverages
[dbt](https://www.getdbt.com) for transformation, and [integrates with Airflow
for orchestration](https://meltano.com/#orchestration).
