One place to track and optimize data and AI spend

Dagster helps you understand the costs behind each asset and dataset.

With Dagster, cost effectiveness can coexist with high quality data delivery.

The problem: No visibility. No control. Big bill.

Without cost observability, you can’t fix what’s draining your budget. It’s impossible to spot high-cost pipelines, inefficient jobs, or wasteful design decisions when your costs are locked in a dashboard or tool that no one checks.

Costs are now accessible to everyone

See costs for every run

Easily understand what each run costs—even if you’re not a data engineer.



Dagster surfaces cost alongside the metadata your team already checks, like duration, asset, trigger type, and API credit usage.

Identify expensive pipelines

Spot which pipelines are racking up data & AI costs and why—before they spiral out of control.



Set notifications when you’re close to going over budget, if spikes occur, etc.

Trace cost back to code

See the compute and storage costs associated with each asset, step, or resource. Debug expensive design.

Control AI pipeline costs before they spiral

Dagster lets you see the cost behind every AI pipeline run—including Snowflake credits, job duration, compute intensity, and trigger method.

Costs are now accessible to anyone

Dagster sits at the center of all your recurring data processes—from ingestion to transformation to visualization. As the orchestrator, it becomes the natural place to track and manage costs across tools.

With visibility across pipelines, teams, and tags, you can avoid data silos, improve accountability, and ensure your spend is traceable—not lost in unknown systems.

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"Dagster Insights has been an invaluable tool for our team. Being able to easily track Snowflake costs associated with our dbt models has helped us identify optimization opportunities and reduce our Snowflake costs."
Timothée Vandeput
Data Engineer | BRP

Know the attribution behind each cost

Get detailed cost insights for every asset - based on compute time, query usage,
and storage.

Start your data journey today

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

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Latest writings

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

dbt Fusion Support Comes to Dagster

August 22, 2025

dbt Fusion Support Comes to Dagster

Learn how to use the beta dbt Fusion engine in your Dagster pipelines, and the technical details of how support was added

What CoPilot Won’t Teach You About Python (Part 2)

August 20, 2025

What CoPilot Won’t Teach You About Python (Part 2)

Explore another set of powerful yet overlooked Python features—from overload and cached_property to contextvars and ExitStack

Dagster’s MCP Server

August 8, 2025

Dagster’s MCP Server

We are announcing the release of our MCP server, enabling AI assistants like Cursor to seamlessly integrate with Dagster projects through Model Context Protocol, unlocking composable workflows across your entire data stack.