AI Gateway vs Cloudflare AI Gateway
Detailed side-by-side comparison to help you choose the right tool
AI Gateway
Developer Tools
Databricks central AI governance layer for LLM endpoints, MCP servers, and coding agents. Provides enterprise governance with unified UI, observability, permissions, guardrails, and capacity management across providers.
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CustomCloudflare AI Gateway
đ´DeveloperApp Deployment
Observe and control AI applications with caching, rate limiting, and analytics for any LLM provider.
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FreeFeature Comparison
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đĄ Our Take
Choose AI Gateway if governance, Unity Catalog lineage, and MCP server control matter more than edge latency. Choose Cloudflare AI Gateway if your priority is low-latency edge caching of LLM responses, a generous free tier, and minimal operational overhead, and you are not already committed to Databricks.
AI Gateway - Pros & Cons
Pros
- âNative integration with Unity Catalog means permissions, audit logs, and lineage work identically to the rest of your Databricks data assets without extra IAM plumbing
- âOpenAI-compatible client interface allows existing application code to point at AI Gateway endpoints with minimal refactoring
- âGoverns three distinct asset types (LLM endpoints, MCP servers, coding agents) in a single pane of glass â rare across the 870+ tools in our directory
- âNo charges during Beta (confirmed on docs as of April 15, 2026), letting teams pilot full governance workflows before committing to enterprise pricing
- âSupports major coding agents including Cursor, Claude Code, Gemini CLI, and Codex CLI, covering the dominant agent tools developers use in 2026
- âInference tables land as Delta tables in Unity Catalog, making audit and monitoring queries trivially accessible via SQL or notebooks
Cons
- âOnly available inside the Databricks platform â teams not already on Databricks cannot adopt AI Gateway as a standalone product
- âCurrently in Beta, meaning feature set, APIs, and limits may shift before GA and enterprise SLAs may not apply
- âTwo parallel versions exist (new AI Gateway in left nav vs. previous AI Gateway for serving endpoints), which creates documentation and migration ambiguity
- âCustom MCP server hosting requires packaging as a Databricks App, adding a layer of platform-specific deployment knowledge
- âPricing is opaque enterprise-contract based with no public tier breakdown, making TCO comparisons against standalone gateways difficult
Cloudflare AI Gateway - Pros & Cons
Pros
- âUniversal proxy supporting all major AI providers
- âPowerful caching reduces costs and improves performance
- âComprehensive analytics and observability features
- âEasy integration requiring only endpoint URL changes
- âFree tier includes unlimited requests with basic features
Cons
- âIntroduces an additional infrastructure dependency
- âAdvanced features require paid plans for high-volume usage
- âConfiguration can become complex for sophisticated routing policies
- âLimited to Cloudflare's global network infrastructure
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