Arize 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 1.5 for Arize, and ranks ahead in 75% of the answers that name both.
Choose Arize if…
- You need a self-hosted or on-premises option
- You need PCI DSS or HIPAA or GDPR coverage
Choose Databricks if…
- You want the brand AI engines rank higher (46.2 vs 1.5)
- AI answers describe it more positively (35% vs 20% positive)
- You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Arize | Databricks |
|---|---|---|
| Visibility score | 1.5% | 46.2% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #34 | #2 |
| Share of voice | 0.7% | 7.6% |
| Mentions this run | 5 | 51 |
| Positive in AI answers | 20% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Arize 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
Head to head in AI answers
4 engine answers name both brands
| Prompt | Engine | Arize | Databricks |
|---|---|---|---|
| What should an MLOps platform integrate with? | ChatGPT | #18 | #21 |
| What are the best MLOps Platforms tools in 2026? | ChatGPT | #17 | #1 |
| Alternatives to the most popular MLOps platform | Perplexity | #20 | #12 |
| Best MLOps platform with AI features | ChatGPT | #12 | #1 |
Features, pricing & fit
| Dimension | Arize | Databricks |
|---|---|---|
| Pricing model | Flat tiers | — |
| Entry price | Free; paid from $50 / mo | — |
| Free plan | Yes | — |
| Deployment | SaaS, with self-hosted deployment on the Enterprise plan; Phoenix runs locally or self-hosted. | Available across all major cloud providers |
| Integrations | 40+ | — |
| Compliance | SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 |
| Support | Community, Email, Dedicated support on Enterprise | Technical support on request, Technical documentation |
| Founded | 2020 | 2013 |
| Headquarters | — | San Francisco, CA |
| Employees | 51–200 | 5,000+ |
| Funding | Series B-1 extension · $131M raised | Round at $60B valuation, including secondary sale |
| Best for | AI engineering teams building and running production AI agents and LLM applications who need observability and evaluations. | 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
Arize
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, “Arize vs Databricks”, https://slateindex.ai/compare/arize-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.