Anyscale 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 0.6 for Anyscale, and ranks ahead in 100% of the answers that name both.
Choose Anyscale if…
- You need ISO/IEC 27001 coverage
Choose Databricks if…
- You want the brand AI engines rank higher (46.2 vs 0.6)
- 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 | Anyscale | Databricks |
|---|---|---|
| Visibility score | 0.6% | 46.2% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #43 | #2 |
| Share of voice | 0.3% | 7.6% |
| Mentions this run | 2 | 51 |
| Positive in AI answers | — | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Anyscale 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 | Anyscale | Databricks |
|---|---|---|---|
| Best MLOps platform for startups | AI Mode | #10 | #2 |
| Official website of the top MLOps platform vendors | ChatGPT | #19 | #1 |
Features, pricing & fit
| Dimension | Anyscale | Databricks |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Contact sales | — |
| Free plan | No | — |
| Deployment | Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem | Available across all major cloud providers |
| Compliance | SOC 2 Type II, ISO/IEC 27001 | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 |
| 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 | Technical support on request, Technical documentation |
| Founded | 2019 | 2013 |
| Headquarters | San Francisco, California, USA | San Francisco, CA |
| Employees | 201–500 | 5,000+ |
| Funding | Series C (second tranche) | Round at $60B valuation, including secondary sale |
| Best for | Python teams and foundation model builders that run data-intensive training, batch inference and data curation workloads on their own GPUs. | Data engineering, data science, analytics and AI teams at startups and global enterprises |
Plans side by side
Anyscale
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Anyscale
Profile in progress.
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, “Anyscale vs Databricks”, https://slateindex.ai/compare/anyscale-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.