AnyscaleProduction-scale AI with Ray
vs
DagsterData your team trusts. AI that runs on it.
Comparison · MLOps Platforms · weekly run Nov 2
Anyscale vs Dagster
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Dagster is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.7 versus 0.6 for Anyscale.
Choose Anyscale if…
- You need ISO/IEC 27001 coverage
- You prefer a larger, established vendor (201–500 employees)
Choose Dagster if…
- You want the brand AI engines rank higher (0.7 vs 0.6)
- You need HIPAA coverage
- named as a practical orchestration choice
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Anyscale | Dagster |
|---|---|---|
| Visibility score | 0.6% | 0.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #43 | #40 |
| Share of voice | 0.3% | 0.3% |
| Mentions this run | 2 | 2 |
| Positive in AI answers | — | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Anyscale 0pp · Dagster 0pp over 0 weekly runs.
Engine by engine
Dagster leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
AnyscaleDagster
Head to head in AI answers
0 engine answers name both brands
0Anyscale ranked higher
0Dagster ranked higher
Features, pricing & fit
| Dimension | Anyscale | Dagster |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Contact sales | $10 / mo |
| Free plan | No | No · 30-day trial |
| Deployment | Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem | Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane. |
| Compliance | SOC 2 Type II, ISO/IEC 27001 | SOC 2 Type II, HIPAA |
| Support | Business-hours support with 5 case submissions on hosted plans, 24x7 expert support with BYOC, Enterprise SLAs with 24x7 coverage and unlimited case submissions, Documentation, discussion forum and Slack community for Ray | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) |
| Founded | 2019 | 2018 |
| Headquarters | San Francisco, California, USA | San Francisco, CA, United States |
| Employees | 201–500 | 51–200 |
| Funding | Series C (second tranche) | Series B · $49M raised |
| Best for | Python teams and foundation model builders that run data-intensive training, batch inference and data curation workloads on their own GPUs. | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. |
Plans side by side
Anyscale
Pay as you goCustomusage (compute hours)
Committed contractsCustomcontact sales
Pros and cons
Themes from the AI answers that mention each brand
Anyscale
Profile in progress.
Dagster
- named as a practical orchestration choice
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Anyscale vs Dagster”, https://slateindex.ai/compare/anyscale-vs-dagster, data of Nov 2, 2026. Licence: CC BY 4.0.