AI Gateway vs Cloudflare AI Gateway
Detailed side-by-side comparison to help you choose the right tool
AI Gateway
Integrations
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
App Deployment
Cloudflare AI Gateway is a free AI observability and control layer that proxies requests to OpenAI, Anthropic, Google, and 25+ providers with caching, rate limiting, logging, DLP, and Guardrails.
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💡 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
- ✓Native integration with Unity Catalog means permissions, audit logs, and lineage work identically to the rest of your Databricks data assets without extra IAM plumbing
- ✓OpenAI-compatible client interface allows existing application code to point at AI Gateway endpoints with minimal refactoring
- ✓Governs three distinct asset types (LLM endpoints, MCP servers, coding agents) in a single pane of glass — rare across the 870+ tools in our directory
- ✓No charges during Beta (confirmed on docs as of April 15, 2026), letting teams pilot full governance workflows before committing to enterprise pricing
- ✓Supports major coding agents including Cursor, Claude Code, Gemini CLI, and Codex CLI, covering the dominant agent tools developers use in 2026
- ✓Inference tables land as Delta tables in Unity Catalog, making audit and monitoring queries trivially accessible via SQL or notebooks
Cons
- ✗Only available inside the Databricks platform — teams not already on Databricks cannot adopt AI Gateway as a standalone product
- ✗Currently in Beta, meaning feature set, APIs, and limits may shift before GA and enterprise SLAs may not apply
- ✗Two parallel versions exist (new AI Gateway in left nav vs. previous AI Gateway for serving endpoints), which creates documentation and migration ambiguity
- ✗Custom MCP server hosting requires packaging as a Databricks App, adding a layer of platform-specific deployment knowledge
- ✗Pricing is opaque enterprise-contract based with no public tier breakdown, making TCO comparisons against standalone gateways difficult
Cloudflare AI Gateway - Pros & Cons
Pros
- ✓Core features are genuinely free on every Cloudflare account — analytics, caching, rate limiting, DLP, persistent logs
- ✓One line of code change works with existing OpenAI, Anthropic, and Google SDKs across 25+ providers
- ✓Runs on Cloudflare's edge so proxy latency overhead is single-digit milliseconds globally
Cons
- ✗Log retention is capped per plan (100k Free / 10M per gateway Paid) — not unlimited
- ✗Span-level observability and evals are thinner than Langfuse or Helicone
- ✗Dynamic Routing, Spend Limits, and BYOK are still beta with documented rough edges
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