Dagster
Build, Schedule, and Monitor Reliable Data Pipelines
Dagster is a data orchestrator platform designed for building, scheduling, and monitoring reliable data pipelines. It serves as a unified control plane for teams to manage AI and data workflows effectively.
Dagster is the data orchestrator platform that helps you build, schedule, and monitor reliable data pipelines - fast, flexible, and built for teams. It serves as a unified control plane for teams to build, scale, and observe their AI and data pipelines with confidence.
This platform is designed to run critical data flows, encompassing everything from pipelines and transformations to full-scale AI and machine learning operations. Users can build reliable pipelines to transfer data from SaaS applications and APIs to data warehouses like Snowflake or BigQuery.
Key features include orchestration of dbt, Databricks, or Python transformations to produce clean, modeled data that powers analytics and business intelligence. Dagster accelerates machine learning development with pipelines that streamline data preparation, model training, and experiment tracking.
Targeted at teams building modern data platforms, Dagster empowers users to discover and understand datasets with clear ownership, lineage, and auto-generated documentation. The platform also ensures data trustworthiness with built-in lineage, alerting, and real-time health metrics, while providing intelligent alerts in Slack and AI-powered debugging for efficient incident resolution.
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Visit Pricing PagePricing Model: free (open source)
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