Dagster Labs
Dagster Labs build the next generation of data orchestration tools, focusing on asset-aware DataOps to make data platforms more reliable and productive.
At a Glance
- Enterprise data teams
- Data engineering teams
- FinTech
- E-commerce
- +1 more
AI Tools by Dagster Labs
(1)
Dagster
AI Data Pipeline Orchestration
Discussions
No discussions yet
Be the first to start a discussion about Dagster Labs
Latest News
Dagster 1.13: Octopus's Garden released with partitioned asset checks and state-backed components
Dagster Labs launches Compass, an AI-driven data analyst for Slack
Dagster Labs announces AI-Driven Data Engineering course
Case Study: How Magenta Telekom built an 'unsinkable' data platform
Products & Services
The core open-source data orchestration platform focused on asset-aware scheduling and observability.
A fully managed cloud platform for Dagster, offering serverless/hybrid deployments, enterprise security, and advanced catalog features.
An AI-powered data analyst integration for Slack that provides instant insights from data assets.
Market Position
Positions as the modern, asset-centric alternative to legacy task-based orchestrators like Airflow, emphasizing developer productivity and data quality.
Leadership
Founders
Nick Schrock
Founder and CTO of Dagster Labs. Previously a Principal Engineer and Director at Facebook (2009-2017), where he founded the Product Infrastructure team and co-created GraphQL.
Executive Team
Pete Hunt
CEO
Former team lead at Twitter, early member of the React team at Facebook, and co-founder of Smyte (acquired by Twitter).
Nick Schrock
Founder & CTO
Co-creator of GraphQL and former Principal Engineer at Facebook.
Founding Story
Founded by Nick Schrock, a co-creator of GraphQL at Facebook, who saw a need for better productivity and reliability in data engineering. He started Elementl (now Dagster Labs) to apply the principles of product engineering to the data lifecycle.
Business Model
Revenue Model
Subscription-based SaaS for Dagster+ Cloud platform and usage-based credit pricing.
Pricing Tiers
1 user, 1 deployment, serverless compute available, core orchestration features.
Up to 3 users, 5 code locations, RBAC, catalog search.
Unlimited deployments, custom security, uptime SLAs, premium support, advanced insights.
Target Markets
- Enterprise data teams
- Data engineering teams
- FinTech
- E-commerce
- Logistics
- Modern data platform orchestration
- AI/ML pipeline management
- Multi-tenant data architectures
- Reliable DataOps
- Magenta Telekom
- US Foods
- easyJet Holidays
- Mapbox