Dagster as a Service

fully managed

Datum Labs designs, deploys, and operates Dagster pipelines so your data team ships assets — not infrastructure. From Airflow migrations to brand-new asset-based architectures, we handle the orchestration layer end to end.

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What is Dagster?

Dagster is the modern, asset-based data orchestrator built for the entire development lifecycle — from local Python code to production pipelines with full lineage and observability. Unlike Airflow's task-centric model, Dagster treats your tables, models, and ML artifacts as first-class assets, giving teams native lineage, testing, and a unified view of data freshness. It integrates natively with dbt, Snowflake, BigQuery, ClickHouse, Spark, and modern ML stacks — making it the orchestration layer of choice for data-mature teams in 2026.

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Benefits of Data Analytics for your business

In today’s market, data analytics is essential for smarter decisions, optimized operations, and enhanced customer experiences.

Data-Driven Decision Making

By aggregating and analyzing data from multiple sources, our data analytics services empower businesses to make informed, strategic decisions that drive performance and growth.

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Personalized Customer Experiences

Understanding customer behavior through digital analytics services allows businesses to create highly targeted marketing strategies and improve engagement.

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Risk Management & Fraud Detection

Our data and analytics services help businesses mitigate financial risks by identifying fraud, predicting potential failures, and ensuring compliance.

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Cost Optimization & Revenue Growth

Through healthcare analytics services, retail insights, and finance tracking, our solutions help businesses cut unnecessary expenses while identifying new revenue opportunities.

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Our Dagster Services

1. Dagster Implementation

Greenfield setup: project structure, asset definitions, resources, IO managers, deployment pipeline, CI/CD.

2. Migration to Dagster

From Airflow, Prefect, cron, or homegrown schedulers. We map DAGs to assets and migrate without downtime.

3. Managed Dagster Hosting

We operate Dagster on your infrastructure (Kubernetes, ECS) or administer your Dagster+ deployment.

4. Pipelines as a Service

Need new pipelines but no team capacity? Our engineers build, test, and ship asset graphs against your roadmap.

5. Modern Data Stack Integration

Dagster + dbt + ClickHouse/Snowflake + Fivetran/Airbyte + reverse-ETL stitched into one orchestrated graph.

6. MLOps & AI Pipelines

Feature pipelines, model training, batch inference, embedding refresh — all as Dagster assets with lineage and SLAs.

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Our Proven Process for Dagster

Assess & Architect

Inventory existing pipelines, define your asset graph, choose deployment model (self-hosted vs Dagster+), and set conventions.

Build & Migrate

Implement assets, resources, sensors, and schedules. Migrate legacy DAGs incrementally with parallel runs for safety.

Operate & Evolve

Monitor materializations, manage SLAs and freshness checks, expand asset coverage, and continuously refactor.

What Makes Us the Right Partner for Dagster

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Asset-First Thinking

We design around the data your business cares about, not the tasks that produce it. Lineage, freshness, and quality are built in from day one.

Migration Without Downtime

We've moved Airflow, Prefect, and cron-based pipelines to Dagster with parallel-run strategies that catch regressions before cutover.

Full-Stack Data Expertise

Dagster doesn't live alone. We integrate it with your warehouse, dbt, streaming layer, and BI tools as one coherent platform.

Built for the AI Era

Feature stores, RAG ingestion, embedding pipelines, model retraining — orchestrated as assets with full reproducibility.

Our Certified Developers

Huzaifa Mazhar

Builds and optimizes real-time analytics systems in ClickHouse. Focused on query performance, scalable data models, and low-latency pipelines for fast, reliable insights.

Ahmed Majeed

Designs high-performance ClickHouse data platforms. Experienced in large-scale ingestion, efficient pipelines, and delivering accurate, real-time analytics across growing systems.

Frequently asked questions

Should we use Dagster+ or self-host on Kubernetes?

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Modern data orchestration with Dagster,

fully managed

What is Dagster?

Benefits of Data Analytics for your business

Our Dagster Services

1.

Dagster Implementation

2.

Migration to Dagster

3.

Managed Dagster Hosting

4.

Pipelines as a Service

5.

Modern Data Stack Integration

6.

MLOps & AI Pipelines