Databricks AI Vendor Risk Profile
Unified data analytics and AI platform combining data lakehouse, ML ops, and generative AI capabilities. Offers Foundation Model APIs that integrate frontier models alongside open-source and custom-trained models on customer data.
Risk overview
Risk score: 25/100
Risk tier: Moderate
Safety rating: 75/100 (higher is better)
Lower risk scores indicate lower assessed risk.
Last verified: Apr 19, 2026 Aging
Risk dimensions
| Dimension | Risk score |
|---|---|
| Data Handling | 28/100 |
| IP Exposure | 26/100 |
| Jurisdiction | 13/100 |
| Security | 22/100 |
| Regulatory Compliance | 20/100 |
| Transparency | 50/100 |
| Business Stability | 31/100 |
| Dependency Chain | 26/100 |
| Agent Governance | Not assessed |
Analyst summary
Rating: Recommended
Databricks combines the Data Intelligence Platform with Mosaic AI and the open-weights DBRX model, giving enterprises a unified data-plus-AI platform with strong compliance posture (SOC 2, ISO 27001, FedRAMP Moderate/High, HIPAA BAA). For data-heavy enterprises, it is among the strongest AI platform choices available.
Bottom line: One of the strongest AI platform choices for data-heavy enterprises; overkill for simpler API-consumer use cases.
Strengths
- No training on customer data; Mosaic AI model serving does not share data with third parties
- Full compliance stack: SOC 2 Type II, ISO 27001/27017/27018/27701, FedRAMP High on Azure Government, HIPAA BAA
- DBRX open-weights model with published technical report and model card
- Unified data platform reduces need for separate data warehouse plus AI tooling
- Customer retains full ownership of data and model outputs
- Multi-cloud deployment (AWS, Azure, GCP) provides flexibility
Concerns
- Significant implementation complexity; ML engineering capacity required
- Pricing can escalate quickly with large-scale AI training workloads
- DBRX is competitive but trails frontier peers (GPT-5, Claude, Gemini) on general benchmarks
- Databricks is still private; long-term financial trajectory depends on continued execution
Best for
- Enterprises with significant data platform investments needing integrated AI
- Organizations building custom models or RAG systems on proprietary data
- Data science and ML engineering teams needing unified tooling for data plus AI
- Regulated industries needing FedRAMP High on Azure Government
Avoid if
- You need a turnkey AI product without ML engineering capacity
- Your AI use case is primarily consuming frontier proprietary models via API
- You want simpler pricing and procurement than enterprise data platforms
- You are not data-heavy and do not need the unified platform
Citations
- Data Handling — Hipaa Baa Available
Databricks offers HIPAA Business Associate Agreements covering the Databricks Data Intelligence Platform including Mosaic AI.
- Data Handling — Trains On User Data
Databricks does not use customer data to train DBRX or any Databricks foundation models, and Mosaic AI model serving does not share data with third-party model providers.
- Ip Profiles — Training Data Provenance
Databricks published a technical report and model card for DBRX, a 132B parameter mixture-of-experts model trained on 12 trillion tokens of curated data.
- Ip Profiles — User Owns Outputs
Customer retains ownership of Customer Content and outputs generated through the Databricks Data Intelligence Platform.
- Jurisdiction Profiles — Incorporation Country
Databricks, Inc. is a Delaware corporation headquartered in San Francisco, California.
- Security Compliance — Fedramp Authorized
Databricks on AWS GovCloud holds FedRAMP Moderate authorization, with Databricks on Azure Government holding FedRAMP High.
- Security Compliance — Iso 27001
Databricks holds ISO/IEC 27001, 27017, 27018, and 27701 certifications.
- Security Compliance — Soc2 Type2
Databricks maintains SOC 2 Type II compliance with reports available through the Trust Center.