What We Build with Dagster?
Zero Downtime Airflow Migration
Asset Graph Architecture
Dagster and dbt Unified Design
Managed Dagster Operations
Pipeline Observability Engineering
Turn unreliable pipelines into production-grade data workflows with Dagster. Dagster as a Service is a fully managed offering where Datum Labs handles the deployment, migration, orchestration and ongoing operations of your Dagster infrastructure so your team can focus on building, not maintaining.
Dagster gives modern data teams a better way to orchestrate pipelines, monitor assets, manage dependencies, and operate analytics workflows at scale. Unlike traditional schedulers, Dagster is built around data assets, observability, testing, and orchestration reliability, making it easier to operate complex data systems with confidence.
Teams use Dagster to orchestrate dbt models, automate ELT pipelines, manage machine learning workflows, and improve visibility across cloud-native data platforms.
We open with a strategy call built around your stack, your pain points and where your pipelines are failing today.
Our engineers design and deploy a Dagster setup that fits your exact tools, workflows and production requirements.
We manage, monitor and improve your Dagster environment alongside your team long after the first pipeline goes live.
A certified Dagster engineer with hands-on expertise in building production-grade pipeline infrastructure, software-defined assets and dbt orchestration for modern data platforms.
Senior Data Engineer
Specialises in deploying and managing Dagster environments at scale. Experienced in migrating complex Airflow setups and integrating Dagster across Snowflake, BigQuery and Airbyte.
Senior Data Engineer
Brings strong knowledge of Dagster asset observability and pipeline monitoring, turning complex workflow data into clear insights that help teams make faster, smarter decisions.
Senior Data Analyst
"We were drowning in failed pipelines every week. Datum Labs stepped in, understood our mess and rebuilt everything on Dagster. Our team has not had a 3am incident since."
"Honestly did not think migrating from Airflow would go this smoothly. The Datum Labs team knew exactly what they were doing and kept us in the loop at every step."
"What impressed us most was that they did not just build it and leave. They stayed involved, answered every question and made sure our team actually understood what was running."
"I can finally see exactly what is happening across all our pipelines without chasing engineers for answers. The visibility Dagster gives us, set up by Datum Labs, changed how we work completely."
Ask AI for a summary about Datum Labs
We turn complex data into clear insights. Our comprehensive data analytics services, from strategy to execution, drive business growth and innovation.
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