Dagster Labs

Dagster Labs Overview

Dagster Labs is the organization behind the innovative orchestration platform Dagster and its enterprise version, Dagster+. Specializing in cloud-native orchestration for data pipelines, Dagster Labs supports a broad range of functionalities aimed at simplifying data management for engineers. This platform is designed to handle complex data workflows and offers first-class testing, deep integration with the modern data stack, and a declarative programming model. Dagster is maintained as an open-source project by Dagster Labs and is leveraged by companies of various sizes, from startups to Fortune 500 corporations.

Dagster Platform Features

Dagster's platform is robust, offering tools for managing the complexities of data engineering. It supports Python assets, dbt-native orchestration, and task-based workflows. Key features include software-defined assets, a single pane of glass for monitoring execution, inspecting assets, and exploring lineage. Additional functionalities consist of integrated lineage and observability, first-class testability, and deep integration with tools like Snowflake, BigQuery, Airbyte, and Fivetran.

Dagster+ Enterprise Solutions

Dagster+ represents the next generation of Dagster Cloud, offering enterprise-level orchestration with features such as operational observability, data cataloging, and CI/CD integrations. It supports both fully serverless and hybrid deployments and includes features like role-based access control, component-level isolation, and integrated security measures. SOC2 and HIPAA compliant, Dagster+ comes with a 30-day free trial and provides tools like data quality checks, cost insights, and a built-in data catalog for asset metadata and lineage.

Integration and Compatibility

Dagster and Dagster+ offer extensive integration capabilities, connecting seamlessly with a range of modern data tools such as Snowflake, BigQuery, Airbyte, and Fivetran. This ensures that users can orchestrate their data pipelines efficiently within their existing data ecosystem. The platform also supports SAML-based SSO for enterprise plans and features like branch deployments, sensor and schedule testing, and environment variables, making it highly adaptable to various business requirements.

Monitoring and Observability

A significant advantage of using Dagster is its comprehensive monitoring and observability capabilities. Users benefit from a detailed run timeline view, enabling them to track runs across all jobs in one place. The platform provides intricate details on each asset, including freshness, status, schema, metadata, and dependencies. For organizations seeking detailed insights, Dagster+ offers platform and pipeline metrics, metrics-based alerts, and custom metrics. Furthermore, it includes cost tracking functionalities for BigQuery and Snowflake, enabling more efficient resource management.