Databricks Unity Gateway
Choose it when Unity Catalog is already the centre.
Your models, data, identities and tools already live in Databricks, and you want the same grants, governed tags and usage records to cover AI traffic.
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Independent decision brief
DVARA or Databricks Unity Gateway?
Both govern model and MCP traffic. The practical choice is where governance should live: inside Unity Catalog, or in a platform you run across your wider AI estate.
Start with fit
Which operating model matches yours?
A useful comparison should help you eliminate the wrong option quickly.
DVARA
Choose it when governance must travel with the traffic.
You need a self-hosted control point across providers, applications, MCP tools and agent-to-agent traffic without adopting a data platform first.
Four decisions
Compare the boundary, not the checklist
Each row explains the tradeoff and the question to take into a pilot.
Where should governance live?
Start with the system your teams already trust for access control.
Databricks Unity Gateway
Unity Gateway extends Unity Catalog. Models, model services and MCP services become governed assets inside the Databricks account.
DVARA
DVARA runs in your environment and governs model, tool and agent traffic without making Unity Catalog the control plane.
Decision: Choose Databricks when Unity Catalog is already your enterprise access model. Choose DVARA when governance must span a mixed platform estate.
What traffic must you control?
Both products now cover more than simple model routing.
Databricks Unity Gateway
Model services can reach Databricks-hosted and external providers, split traffic, add fallbacks, enforce rate limits and track supported spend.
DVARA
The DVARA LLM Gateway applies workspace policy, PII controls, cost attribution and audit evidence across its supported provider connectors.
Decision: Do not choose on “multi-provider” alone. Compare the exact APIs, provider connectors, policy conditions and budget scope your applications use.
How do agents reach tools?
The meaningful difference is the governance model around each tool call.
Databricks Unity Gateway
MCP Services use Unity Catalog permissions, tool filtering, rate limits and usage records. Beta service policies can allow, deny or hold a call for approval.
DVARA
Enterprise deployments add MCP argument policy, PII checks, approval gates and loop detection. The A2A Gateway governs agent-to-agent hops.
Decision: Databricks is strong when tools and identities belong in Unity Catalog. DVARA is the better fit when MCP and A2A need a dedicated runtime control layer.
What evidence must operators keep?
Logs show activity. Governance evidence must also explain the decision.
Databricks Unity Gateway
Unity Gateway records usage and cost; audit logs cover control-plane changes and MCP calls. Traces and inference tables can retain request and response data.
DVARA
DVARA records policy decisions and runtime activity in a tamper-evident audit trail. Flightdeck gives operators one view across governed workspaces.
Decision: Map each product to the evidence your audit team actually requests, including retention, payload handling and who controls the underlying storage.
Verified details
Facts that change the decision
These details are easy to lose in a broad feature matrix.
- Core availability
- Unity Gateway and Unity Catalog asset governance are generally available.
- Guardrail maturity
- Databricks service policies are Beta and require an account administrator to enable the preview.
- MCP controls
- Registered MCP Services support permissions, tool filtering, rate limits, monitoring and service policies.
- Human approval
- The Beta service-policy flow can hold an MCP tool call for approval before execution.
- Budget boundary
- Unity Gateway budgets can include external-model usage as an option; provisioned throughput is excluded.
- DVARA editions
- Open Source covers the LLM data plane; the Enterprise platform adds the MCP and A2A planes.
Bottom line
This is a platform-boundary decision.
Databricks Unity Gateway is compelling when Unity Catalog already governs your data and AI assets. DVARA is the clearer fit when you need a dedicated, self-hosted governance platform across a mixed provider and agent estate.