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26 docs tagged with "Community supported"

Community-supported integrations.

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Dagster & Anthropic

Integrate Anthropic calls into your Dagster pipelines, without breaking the bank.

Dagster & Cube

Push changes from upstream data sources to Cubes semantic layer.

Dagster & DingTalk

The community-supported `dagster-dingtalk` package provides an integration with DingTalk.

Dagster & Evidence

Build robust dashboards with markdown and SQL using the Evidence integration

Dagster & GCP Cloud Run

The community-supported `dagster-contrib-gcp` package provides integrations with Google Cloud Platform (GCP) services.

Dagster & HashiCorp

The community-supported `dagster-nomad` package provides an integration with HashiCorp Nomad.

Dagster & Hex

The community-supported `dagster-hex` package provides an integration with Hex.

Dagster & Java

The Java Pipes client provides a Java implementation of the Dagster Pipes protocol that can be used to orchestrate data processing pipelines written in Java from Dagster, while receiving logs and metadata from the Java application.

Dagster & LakeFS

lakeFS provides version control and complete lineage over the data lake.

Dagster & Meltano

Tap into open source configurable ETL+ and the Singer integration library.

Dagster & Modal

The community-supported `dagster-modal` package provides an integration with Modal.

Dagster & MSSQL Bulk Copy Tool

The community-supported `dagster-mssql-bcp` package is a custom Dagster I/O manager for loading data into SQL Server using the bcp utility.

Dagster & obstore

The community-supported `dagster-obstore` package provides an integration with obstore.

Dagster & Perian

The `dagster-perian` integration allows you to easily dockerize your codebase and execute it on the PERIAN platform, PERIAN's serverless GPU environment.

Dagster & Qdrant

Integrate Qdrant vector search features into your workflows powered by Dagster.

Dagster & Ray

The community-supported `dagster-ray` package allows orchestrating distributed Ray compute from Dagster pipelines.

Dagster & Rust

The Rust Pipes client allows full observability into your Rust workloads when orchestrating through Dagster.

Dagster & Secoda

Help your team understand metadata from Dagster by adding context in Secoda.

Dagster & Teradata

The community-supported `dagster-teradata` package provides an integration with Teradata.