Software & technology

Ship faster,
scale confidently

Deliver features and data products in hours not weeks while minimizing risk of rework or breaking fragile architectures.

Dagster for software and technology companies
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Reduction in testing costs
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Elimination in manual work

Data engineers can have nice things too

Dagster gives modern, high‑growth, software teams asset-aware orchestration with actionable observability to cut pipeline toil, surface lineage automatically, and go from pull‑request to production with confidence.

Ship faster, scale confidently

Deliver workflows in minutes, not weeks, and without breakage. Fewer rollbacks, less on-call, and faster changes gives your team the momentum to move business goals.

Observability you can act on

Cut downtime and guesswork by visualizing pipelines across teams. Identify issues and opportunities faster, to protect your SLAs, budget, and team morale.

Accelerate high-impact projects

Prioritize big ideas and impactful projects over daily maintenance. Ship reliable data/ML features faster, with safe experiments and governance built in.

Scale your organization

Grow from one to many, without chaos or added complexity. Start small, standardize fast, and scale to cross-functional teams on one data platform.

"We would not exist today as a company if we didn't move to a single unified codebase, with a real data platform beneath it."
Tom Vykruta
CEO and Cofounder
Vanta uses Dagster

Vanta eliminated data bottlenecks with a unified control plane

Vanta was spending time managing a fragmented data stack with cron-based scheduling that led to frequent data delays with no central visibility. Dagster’s asset-based approach provided a single pane of glass, helping Vanta ship reliable data faster.

From 7-hour latency to near real-time
From constant escalations to self-service
Read more
View all customer stories

Your Data Ecosystem

Tap into Fivetran sources from within your pipelines

Fivetran

Orchestrate Fivetran connectors and schedule syncs with upstream or downstream dependencies.

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Using AWS S3 with Dagster

AWS S3

The AWS S3 integration allows data engineers to easily read and write objects to the durable AWS S3 storage, enabling engineers to have a resilient storage layer when constructing their pipelines.

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Using Dagster with Looker

Looker

The Looker integration allows you to monitor your Looker instance as assets in Dagster, along with other data assets.

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Dagster + Snowflake

Snowflake

An integration with the Snowflake data warehouse. Read and write natively to Snowflake from Software Defined Assets.

Partner
Using Databricks with Dagster

Databricks

The Databricks integration enables you to initiate Databricks jobs directly from Dagster, seamlessly pass parameters to your code, and stream logs and structured messages back into Dagster.

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Orchestrate your dbt™ transformation steps

dbt™

Put your dbt transformations to work, directly from within Dagster.

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Explore all Integrations

Join our community

Connect

Join Dagster engineers and +10,000 fellow data wranglers for quick help, ideation, and key platform updates.

Discuss

GitHub discussion threads are a great way to find answers to common Dagster support questions.

Learn

Dagster University helps you leverage the platform through courses on fundamentals and best practices, to integrating with popular tools.

Deliver your roadmap at
full speed

Reduce risk, boost velocity, and standardize data workflows on a platform that scales with your organization. Get started today with a free trial or book a demo to see Dagster in action.

Request a demo
Try Dagster+

Additional resources

Dagster and Big Cartel

June 3, 2025

Big Cartel Brought Fragmented Data into a Unified Control Plane with Dagster

Within six months, Big Cartel went from "waiting for dashboards to break" to proactive monitoring through their custom "Data Firehose," eliminated inconsistent business metrics that varied "depending on the day you asked," and built a foundation that scales from internal analytics to customer-facing data products.

August 26, 2025

Dagster Running Dagster: Event Driven Pipelines

In this Deep Dive, we are joined by Dagster Data Engineer Nick Roach, who showcases how we run event-driven pipelines with Apache Kafka and Flink.

Download the e-book primer on how to build data platforms

Learn the fundamental concepts to build a data platform in your organization; covering common design patterns for data ingestion and transformation, data modeling strategies, and data quality tips.