Dagster
NewData your team trusts. AI that runs on it.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Dagster ranks #40 of 61 in MLOps Platforms with an AI visibility score of 0.7 (SlateIndex, Nov 2, 2026).
- Dagster is most visible on Perplexity (2.2) and least on Google AI Mode (0).
- AI engines name Dagster in 2 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
- ones.com is the source AI engines cite most in answers about Dagster, with 2 citations.
About
Company details for Dagster
Dagster is an asset-centric data orchestration platform for building, scheduling and monitoring data pipelines across tools such as dbt, Snowflake and Fivetran. It attaches lineage, freshness and quality signals to each asset so teams can see what broke and what depends on it. The open-source core can be self-hosted, or run as Dagster+ with serverless or hybrid deployment. It ranks #40 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 0.7 in the latest weekly run.
Founded in 2018 and headquartered in San Francisco, CA, United States, the company employs 51–200 people. It has raised about $49M. Its differentiator: asset-centric orchestration that attaches lineage, quality signals and dependency context to every data asset, rather than tracking only whether a job finished.
- Website
- dagster.io
- Categories
- MLOps Platforms
- Company size
- 51–200 employees
- Headquarters
- San Francisco, CA, United States
- Founded
- 2018
- Company type
- Private, venture-backed
- Funding
- Series B · $49M raised
- Pricing
- $10 / mo · usage-based
- Free trial
- 30-day free trial
- Deployment
- Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane.
- Platforms
- AWS ECS, Kubernetes, Docker, Azure, Local
- Compliance
- SOC 2 Type II, HIPAA
- Support
- Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan), Premium support (Pro plan)
Read from linkedin.com, dagster.io, g2.com, github.com, checkthat.ai · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
Media
Website and product screenshots for Dagster
AI mentions & citations
Recent answers that name Dagster
What should an MLOps platform integrate with?
Workflow orchestration: Airflow, Kubeflow, Dagster, or similar tools for training, evaluation, batch inference, and retraining.
Alternatives to the most popular MLOps platform
For many teams, a practical vendor-neutral stack is ClearML or MLflow for tracking, Dagster or Airflow for orchestration, BentoML or KServe for serving, and Evidently or Arize for monitoring.
Products & features
What Dagster sells
Dagster
Open-source, asset-based data orchestration framework for building and monitoring pipelines.
Dagster+
Hosted Dagster offering serverless or hybrid deployment, with enterprise features such as branch deployments and RBAC.
Compass
Dagster AI component for building governed data agents on top of trusted data workflows.
Strengths engines cite
- named as a practical orchestration choice
Target market & buyers
Data teams from small builders to enterprises, including startups through Fortune 500 firms in finance, healthcare, retail and technology.
Notable customers include easyJet Holidays, US Foods, Vanta, PostHog, Otto, smava, Magenta Telekom, Tampa Bay Rays.
| Industry | Primary use case |
|---|---|
| Finance | Automating over 1,000 dbt models with zero downtime (smava). |
| Retail & E-commerce | Unifying pipelines from six teams on one platform (Otto). |
| Energy | Unifying meter, weather, market and strategy data into one observable platform (Flo Energy). |
| Sports | Processing MLB game data within 15 minutes of game completion (Tampa Bay Rays). |
Funding & recent developments
Funding
| Round | Year | Amount |
|---|---|---|
| Seed | 2018 | $2M |
| Series A | 2021 | $14M |
| Series B | 2023 | $33M |
| Latest known round | Total raised |
|---|---|
| Series B | $49M |
Recent developments
- Aug 2026ProductDeclarative Automation in Dagster
Dagster published a post on Declarative Automation, which lets users express a desired asset state while Dagster handles the work to reach it.
- Jul 2026CompanyPrefect announces acquisition of Dagster Labs
Prefect announced it is acquiring Dagster Labs, including the Dagster product, codebase, customer relationships and many staff. The close was not confirmed in the sources reviewed.
- Apr 2026ProductDagster Terraform Provider announced
A Terraform provider lets platform teams manage deployments, access controls and alerting as code.
- Apr 2026ProductDagster 1.13 released
Release included skills, partitioned asset checks and virtual assets.
Competitive landscape
How Dagster compares with its top three alternatives
Dagster most often appears alongside MLflow, Databricks, AWS in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| Dagster | 0.7% | 0.3% | New | $10 / mo |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| Databricks | 46.2% | 7.6% | New | Pricing not available |
| AWS | 35.7% | 7.5% | New | Pricing not available |
| Google Vertex AI | 33.1% | 7.2% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 50% · Neutral 50% · Mixed 0% of 2 engine answers that mention Dagster
Praised for
- named as a practical orchestration choice
Criticised for
Pricing
Usage-based pricing
Cite as: SlateIndex, “Dagster AI visibility profile”, https://slateindex.ai/brand/dagster, data of Nov 2, 2026. Licence: CC BY 4.0.