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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Dagster Labs
Dagster Labs

Dagster Labs

Founded 2019

Build, schedule, and track asset-based data pipelines across your entire tech stack

Pricing model

Free Trial

You can use Dagster to organize, execute, and monitor your data workflows based on data assets rather than simple tasks. It tracks data lineage, pipeline dependencies, and freshness automatically across tools like dbt and Snowflake. You can run automated tests, validate code using branch deployments before pushing to production, and monitor pipeline health in real time. It also integrates with AI agents and developer workflows, allowing teams to diagnose broken pipelines and fix operational failures quickly.

What Dagster Labs does

Schedule recurring data ingestion and transformation jobsTrack data dependencies and end-to-end asset lineageDiagnose root causes and downstream impacts of pipeline failuresDeploy pipeline code changes to isolated preview environmentsAutomate dbt model runs based on upstream data changesMonitor data freshness metrics and set alert thresholdsAsset-centric orchestration that tracks output states and lineageNative integrations with dbt, Snowflake, and FivetranHybrid deployment architecture keeping compute inside your private infrastructureBranch deployments to test changes in isolated environments before productionBuilt-in data lineage tracking and dependency mappingAutomated alerts and full blast-radius visibility for pipeline failuresDeclarative automation to keep assets up to date without manual schedules

Pricing breakdown

Pricing model: Free trial

PlanList price
Starter$100 / mo

Frequently asked

dbtdbtSnowflakeSnowflakeFivetranFivetranKubernetesKubernetesGithubGithub

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Dagster, data orchestration, data pipelines, DataOps, data lineage, asset-based orchestration, dbt, Snowflake, Fivetran, data observability, data workflows, pipeline scheduling