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.

How to Build a Data Platform That Actually Scales
How to Build a Data Platform That Actually Scales

December 22, 2025

How to Build a Data Platform That Actually Scales

Most teams build data platforms reactively when you should be architecting one that scales with your business, not against it.

Data Ingestion Patterns: When to Use Push, Pull, and Poll (With Real Examples)
Data Ingestion Patterns: When to Use Push, Pull, and Poll (With Real Examples)

December 17, 2025

Data Ingestion Patterns: When to Use Push, Pull, and Poll (With Real Examples)

A practical guide to choosing between push, pull, and poll data ingestion patterns. With real Dagster code examples to help you build reliable, maintainable pipelines.

Orchestrating Nanochat: Deploying the Model
Orchestrating Nanochat: Deploying the Model

December 16, 2025

Orchestrating Nanochat: Deploying the Model

Once the model is trained, the final step is getting it into users’ hands. This guide walks through turning your model into a fast, reliable RunPod endpoint—complete with orchestration and automated updates from Dagster.