
Your platform for AI and data pipelines.
Dagster Labs provides a comprehensive data orchestration platform that consolidates pipeline management, data cataloging, and quality monitoring into a unified control plane. The platform is particularly strong in enabling rapid development cycles and offers robust enterprise features, making it a viable alternative to tools like Airflow, Prefect, and dbt Cloud.

Dagster Labs is the company behind Dagster, a cloud-native data orchestration platform designed to help data engineering teams build, scale, and monitor their AI and data pipelines with confidence. The platform serves as a unified control plane that combines data orchestration, data catalog capabilities, data quality monitoring, and integrated observability into a single solution. Trusted by organizations worldwide including major enterprises, Dagster enables teams to manage everything from ETL/ELT pipelines and data transformations to full-scale AI and machine learning operations. The platform differentiates itself through its declarative programming model, software-defined assets approach, and first-class testing capabilities that enable teams to ship data pipelines with exceptional velocity. Dagster provides deep integration with the modern data stack, supporting orchestration of tools like dbt, Databricks, Snowflake, and BigQuery. The company also offers Dagster+, their managed cloud offering, along with enterprise features including SSO, RBAC, SCIM provisioning, SOC 2 Type II compliance, HIPAA alignment, and flexible deployment options across North American and European regions. Dagster Labs continues to innovate with features like Compass, which transforms warehouse data into instant, trustworthy answers for stakeholders within their existing tools. The company maintains an active open-source community, comprehensive documentation through Dagster University, and provides dedicated enterprise support for organizations requiring advanced capabilities and guidance.