# dagster-labs

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/dagster-labs
- **Dataset:** https://optimly.ai/brand/dagster-labs.json
- **Markdown:** https://optimly.ai/brand/dagster-labs/llms.txt
- **Official website:** https://dagster.io
- **Slug:** dagster-labs
- **Categories:** ai-machine-learning, data-analytics-business-intelligence, developer-tools

## Overview

- **Tagline:** AI-native operational layer for data, offering full visibility (lineage, dependencies, data health) into pipelines to prevent issues, and enabling AI agents to operate on trusted, contextualized data.
Source: Brand's website (https://dagster.io) · 2026-10-04

- **Description:** Dagster is an AI-native operational layer that structures how data is built, observed, and delivered, enabling both teams and AI agents to rely on it for trusted data.
Source: Brand's website (https://dagster.io) · 2026-10-04

## Offerings

- **Core capabilities:**
  - DataOps platform
  - data orchestration tools
  - Dagster+ AI for operational context and data agents.
Source: Brand's website (https://dagster.io) · 2026-10-04

- **Pricing:** Freemium ('Get started for free') with an enterprise tier ('Talk to sales', 'Dagster for Enterprise').
Source: Brand's website (https://dagster.io) · 2026-10-04

## Audience

- **Target industry:** Data engineers, platform teams, data scientists, businesses requiring reliable data infrastructure for analytics and AI, enterprises with complex data pipelines.
Source: Brand's website (https://dagster.io) · 2026-10-04

## Landscape

- **Competitors:**
  - Apache Airflow
  - Orchestra
  - Astronomer
  - Dataiku
  - dbt Labs
Source: Brand's website (https://dagster.io) · 2026-10-04

Page last updated 2026-10-17.