DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
SimThe open-source AI workspace to build, distribute, and govern AI agents
Comparison · AI Agents · weekly run Nov 3
Databricks vs Sim
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 AI Agents: it has a visibility score of 3 versus 2.3 for Sim.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 2.3)
- 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)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Sim if…
- You need a self-hosted or on-premises option
- You need GDPR coverage
- Technical control and model flexibility
- Self-hosting option
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Sim |
|---|---|---|
| Visibility score | 3% | 2.3% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #39 |
| Share of voice | 0.9% | 0.7% |
| Mentions this run | 6 | 5 |
| 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
Databricks 0pp · Sim 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksSim
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Sim ranked higher
Features, pricing & fit
| Dimension | Databricks | Sim |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $25 per seat / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Cloud-hosted, or self-hosted in your own cloud with Docker or Kubernetes |
| Integrations | — | 275+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, ISO 27001, GDPR |
| Support | Technical support on request, Technical documentation | Dedicated support on the Enterprise plan |
| Founded | 2013 | 2025 |
| Headquarters | San Francisco, CA | San Francisco, CA, United States |
| Employees | 5,000+ | 11–50 |
| Funding | Round at $60B valuation, including secondary sale | Series A · $7M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Companies that need to build, deploy, and govern AI agents across the organization with central control over access, spend, and data |
Plans side by side
Databricks
Pricing not available.
Sim
Free$0free forever
Pro$25per user/month, billed monthly
Max$100per user/month, billed monthly
EnterpriseCustomcustom, talk to sales
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
Sim
- Technical control and model flexibility
- Self-hosting option
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Sim”, https://slateindex.ai/compare/databricks-vs-sim, data of Nov 3, 2026. Licence: CC BY 4.0.