Unify inventory, sales, and supply chain data in a single data platform

Trust the only modern data orchestration platform that can help unify your retail and e-commerce data. Integrate with both legacy systems and modern cloud software, while gaining observability across the stack.

The hidden cost of
fragmented commerce data

Most eCommerce teams rely on a mix of platforms, plugins, and scripts to move data—often without knowing how it’s flowing or what’s breaking.

Siloed data with limited visibility

Fragmented and inconsistent data silos are all too common when dealing with large-scale data from many sources and vendors. Data exists in many systems with no single unified way of understanding how they relate to each other.

Teams struggle with development

Low-code solutions and poor workflows mean your developers and analysts take too long to be able to build pipelines and understand data. Your teams spend more time fighting their tools than they do delivering valuable insights.

Tribal knowledge and bespoke systems

Without a unified data catalog, your teams rely on tribal knowledge and are reliant on data engineers to know what data is available and why pipelines fail. Data engineers spend more time responding to questions than building for the future.

A unified platform shouldn’t be a pipedream

Dagster allows e-commerce teams to make sense of their data with a 360-degree view of their platform. Get better visibility across the stack, with alerting, data quality, and lineage at your fingertips.

Get to insights faster
With a single pane-of-glass, your teams can quickly find the data and context they need to quickly deliver insights.
Enable personalized experiences
Build a data platform you can trust so you can give your customers the personalized experience they demand.
Build for scale
Focus on building a brand, not on managing infrastructure. Dagster is built to scale with you, so you can spend more time doing what your customers love.

How Big Cartel streamlined development and reduced incidents

With Dagster, Big Cartel was able to improve data consistency and reduce time spent on finding issues. The streamlined local testing and branch deployments helped the data team ship confidently. New pipelines were easier and faster to setup, and collaboration improved with their analysts.

Read the full case study
Proactive monitoring
Time spent on issue detection reduced through proactive monitoring.
Better data consistency
Big Cartel was able to ensure more consistent answers to business questions, regardless of timing or source.

Start your data journey today

Unlock the power of data orchestration with our demo or explore the open-source version.

Latest writings

The latest news, technologies, and resources from our team.

Multi-Tenancy for Modern Data Platforms
Webinar

April 13, 2026

Multi-Tenancy for Modern Data Platforms

Learn the patterns, trade-offs, and production-tested strategies for building multi-tenant data platforms with Dagster.

Deep Dive: Building a Cross-Workspace Control Plane for Databricks
Webinar

March 24, 2026

Deep Dive: Building a Cross-Workspace Control Plane for Databricks

Learn how to build a cross-workspace control plane for Databricks using Dagster — connecting multiple workspaces, dbt, and Fivetran into a single observable asset graph with zero code changes to get started.

Dagster Running Dagster: How We Use Compass for AI Analytics
Webinar

February 17, 2026

Dagster Running Dagster: How We Use Compass for AI Analytics

In this Deep Dive, we're joined by Dagster Analytics Lead Anil Maharjan, who demonstrates how our internal team utilizes Compass to drive AI-driven analysis throughout the company.

How to Make the Architectural Case for Dagster
How to Make the Architectural Case for Dagster
Blog

June 9, 2026

How to Make the Architectural Case for Dagster

Mature orchestration environments often work operationally while still leaving critical data dependencies implicit. This post introduces the Orchestration Maturity Model, explains the architectural ceiling of job-centric systems, and shows how Dagster’s asset-aware approach helps teams reason about freshness, lineage, quality, and self-service at enterprise scale.

Community Showcase Part 1
Community Showcase Part 1
Blog

June 3, 2026

Community Showcase Part 1

Some of the most interesting Dagster projects come from the community. This post highlights creative community-built applications ranging from public data exploration and infrastructure monitoring to research automation and internal tooling, along with why their creators chose Dagster and what building with it was like.

How Dagster Compass Powers Brooklyn Data’s Self-Service Analytics
How Dagster Compass Powers Brooklyn Data’s Self-Service Analytics
Blog

June 1, 2026

How Dagster Compass Powers Brooklyn Data’s Self-Service Analytics

Text-to-analytics promises self-service access to data, but adoption depends on usability, governance, and trust. In this guest post, Brooklyn Data explains how it evaluated Compass, deployed it on top of Snowflake, and enabled teams to answer operational questions directly in Slack while maintaining centralized governance and business context.

How Magenta Telekom Built the Unsinkable Data Platform
Case study

February 25, 2026

How Magenta Telekom Built the Unsinkable Data Platform

Magenta Telekom rebuilt its data infrastructure from the ground up with Dagster, cutting developer onboarding from months to a single day and eliminating the shadow IT and manual workflows that had long slowed the business down.

Scaling FinTech: How smava achieved zero downtime with Dagster
Case study

November 25, 2025

Scaling FinTech: How smava achieved zero downtime with Dagster

smava achieved zero downtime and automated the generation of over 1,000 dbt models by migrating to Dagster's, eliminating maintenance overhead and reducing developer onboarding from weeks to 15 minutes.

Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster
Case study

November 18, 2025

Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster

UK logistics company HIVED achieved 99.9% pipeline reliability with zero data incidents over three years by replacing cron-based workflows with Dagster's unified orchestration platform.

Modernize Your Data Platform for the Age of AI
Guide

January 15, 2026

Modernize Your Data Platform for the Age of AI

While 75% of enterprises experiment with AI, traditional data platforms are becoming the biggest bottleneck. Learn how to build a unified control plane that enables AI-driven development, reduces pipeline failures, and cuts complexity.

Download the eBook on How to Scale Data Teams
Guide

November 5, 2025

Download the eBook on How to Scale Data Teams

From a solo data practitioner to an enterprise-wide platform, learn how to build systems that scale with clarity, reliability, and confidence.

Download the eBook Primer on How to Build Data Platforms
Guide

February 21, 2025

Download the eBook 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.

AI Driven Data Engineering
Course

March 19, 2026

AI Driven Data Engineering

Learn how to build Dagster applications faster using AI-driven workflows. You'll use Dagster's AI tools and skills to scaffold pipelines, write quality code, and ship data products with confidence while still learning the fundamentals.

Dagster & ETL
Course

July 11, 2025

Dagster & ETL

Learn how to ingest data to power your assets. You’ll build custom pipelines and see how to use Embedded ETL and Dagster Components to build out your data platform.

Testing with Dagster
Course

April 21, 2025

Testing with Dagster

In this course, learn best practices for testing, including unit tests, mocks, integration tests and applying them to Dagster.