Databricks vs Posit
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 Posit, and ranks ahead in 50% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (46.2 vs 0.7)
- AI answers describe it more positively (35% vs 0% positive)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
Choose Posit if…
No clear advantage in the published data.
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Posit |
|---|---|---|
| Visibility score | 46.2% | 0.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #2 | #41 |
| Share of voice | 7.6% | 0.2% |
| Mentions this run | 51 | 2 |
| Positive in AI answers | 35% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Posit 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 | Databricks | Posit |
|---|---|---|---|
| What is the difference between an MLOps platform and a data science platform? | ChatGPT | #11 | #6 |
| Which MLOps Platforms vendors do analysts recommend? | ChatGPT | #1 | #17 |
Features, pricing & fit
| Dimension | Databricks | Posit |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | Available across all major cloud providers | Self-managed on the customer's own servers, Kubernetes or cloud environments, and natively within Snowflake, AWS and Databricks |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | — |
| Support | Technical support on request, Technical documentation | Support Agreement for commercial software, Documentation |
| Founded | 2013 | 2009 |
| Headquarters | San Francisco, CA | Boston, Massachusetts, USA |
| Employees | 5,000+ | 201–500 |
| Funding | Round at $60B valuation, including secondary sale | Series D |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Enterprise data science teams that build in R and Python and need IT governance over data, compute and packages |
Plans side by side
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
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
Posit
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Posit”, https://slateindex.ai/compare/databricks-vs-posit, data of Nov 2, 2026. Licence: CC BY 4.0.