One place. 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.
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.
