Dagster vs Databricks
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databricks is the stronger AI pick in MLOps Platforms: it has a visibility score of 46.2 versus 0.7 for Dagster, and ranks ahead in 50% of the answers that name both.
Choose Dagster if…
- AI answers describe it more positively (50% vs 35% positive)
- You need HIPAA coverage
- named as a practical orchestration choice
Choose Databricks if…
- You want the brand AI engines rank higher (46.2 vs 0.7)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Dagster | Databricks |
|---|---|---|
| Visibility score | 0.7% | 46.2% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #40 | #2 |
| Share of voice | 0.3% | 7.6% |
| Mentions this run | 2 | 51 |
| Positive in AI answers | 50% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dagster 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Dagster | Databricks |
|---|---|---|---|
| What should an MLOps platform integrate with? | Perplexity | #6 | #10 |
| Alternatives to the most popular MLOps platform | Perplexity | #17 | #12 |
Features, pricing & fit
| Dimension | Dagster | Databricks |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | $10 / mo | — |
| Free plan | No · 30-day trial | — |
| Deployment | Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane. | Available across all major cloud providers |
| Compliance | SOC 2 Type II, HIPAA | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 |
| Support | Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan) | Technical support on request, Technical documentation |
| Founded | 2018 | 2013 |
| Headquarters | San Francisco, CA, United States | San Francisco, CA |
| Employees | 51–200 | 5,000+ |
| Funding | Series B · $49M raised | Round at $60B valuation, including secondary sale |
| Best for | Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack. | Data engineering, data science, analytics and AI teams at startups and global enterprises |
Plans side by side
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Dagster
- named as a practical orchestration choice
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dagster vs Databricks”, https://slateindex.ai/compare/dagster-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.