Databricks Mosaic AI Gateway is a governance and routing layer that lets you call external LLM providers and Databricks-hosted models through one policy-controlled endpoint, with rate limiting, payload logging, PII guardrails, and usage tracking. It is a solid fit if your models, data, and teams already live inside the lakehouse and Unity Catalog. The trouble starts when they do not. Teams running AI across clouds, outside Databricks, or in their own VPC keep looking for a gateway that is not tied to one platform. That is why teams search for a Databricks AI Gateway alternative.
This guide compares the strongest options and where each fits. We lead with TrueFoundry, which we build, and which we think is the best overall choice for production LLM and agent workloads that need to run anywhere. Details are from public documentation as of mid-2026, so confirm current specifics before committing.
What to look for in a Databricks AI Gateway alternative
- Platform independence. A gateway that runs in your own VPC or on-prem, not one anchored to a single data platform.
- Broad LLM coverage. One API in front of many providers, with routing, fallbacks, and load balancing.
- MCP and agent governance. Tool-level control for agents, not just model-endpoint policies.
- First-class observability. Token cost, latency percentiles, and per-tool metrics you can attribute by team or tenant.
- Compliance. SOC 2, HIPAA, and GDPR support with SSO, RBAC, and audit logging.
The best Databricks AI Gateway alternatives
1. TrueFoundry: best overall
TrueFoundry is an AI-native gateway that runs in your own infrastructure and is not bound to any one data platform. Where Mosaic AI Gateway assumes the lakehouse, the TrueFoundry AI Gateway is designed to sit in front of whatever models, clouds, and agents you already use.
Where it pulls ahead of Databricks for teams running AI beyond the lakehouse:
- 1,000+ LLMs through one OpenAI-compatible API. Switch models by changing the model name, same URL and credentials, across providers and clouds.
- Runs anywhere. Full VPC, on-prem, air-gapped, or hybrid deployment with no request data leaving your domain, and no dependency on a single platform.
- Native MCP gateway. The MCP Gateway gives agents governed, tool-level access with OAuth, pre and post-tool guardrails, and a full audit trail.
- Deep observability. A built-in metrics dashboard tracks token cost, latency percentiles (TTFT, ITL, P99), guardrail outcomes, and per-tool MCP metrics, and it is OpenTelemetry-compliant.
- Model deployment included. Serve any model on vLLM, TGI, or Triton in the same control plane as the gateway.
- Performance and compliance. Roughly 3 to 4 ms of overhead at 350+ RPS on a single vCPU, with SOC 2, HIPAA, and GDPR support, SSO, RBAC, and SCIM.
Pros: platform-independent, self-hosted in your VPC, MCP and agent governance, model deployment plus gateway in one place.
Cons: if you are all-in on Databricks and never leave it, the native gateway is closer at hand.
Best for: teams running LLMs and agents across clouds or outside Databricks that want AI-native routing and governance in their own infrastructure.
Pricing: enterprise pricing based on deployment and scale.
Explore the TrueFoundry AI Gateway or book a demo.
2. LiteLLM
LiteLLM is an open-source proxy and Python SDK offering one OpenAI-compatible endpoint for 100+ providers and 2,500+ models, with routing, load balancing, spend tracking, and virtual keys. Most of it is MIT-licensed, with SSO and RBAC in a commercial tier. It is not tied to any data platform, which is often the whole point for teams leaving a lakehouse-bound gateway.
Best for: developers who want the widest provider coverage and a self-hosted proxy with no per-request fee.
Pricing: open source; commercial tier for enterprise governance.
3. Portkey
Portkey is an observability-first AI gateway that routes to a large model catalog and ships 50+ guardrails plus an MCP gateway. The open-source gateway is Apache 2.0; hosted plans start at $49 per month and meter recorded logs.
Best for: teams that want guardrails and request-level observability shipped as a product.
Pricing: free open source, $49/mo hosted, custom enterprise.
4. Kong AI Gateway
Kong added open-source AI plugins to its Nginx-based API gateway, so LLM traffic inherits its large plugin ecosystem for auth, rate limiting, and traffic control. Good if Kong is already your API layer.
Best for: platform teams already standardized on Kong Gateway.
Pricing: AI plugins open source; Kong platform tiers for enterprise.
5. Cloudflare AI Gateway: best for edge caching
Cloudflare AI Gateway is a lightweight edge layer focused on caching, rate limiting, and analytics in front of model providers. Easy to adopt on Cloudflare, though lighter on MCP and agent governance.
Best for: teams on Cloudflare wanting a simple caching and analytics layer.
Pricing: usage-based, with a free tier.
Databricks AI Gateway vs the alternatives: comparison
| Capability | TrueFoundry | Databricks (Mosaic) | LiteLLM | Portkey | Kong |
|---|---|---|---|---|---|
| Platform independence | Runs anywhere | Tied to lakehouse | Yes | Yes | Yes |
| LLM coverage | 1,000+ via unified API | External + Databricks models | 100+ providers | 1,600+ | Multiple via AI Proxy |
| MCP / agent governance | Native, tool-level | Limited | Limited | MCP gateway | Not a native focus |
| VPC / on-prem | Yes, no data egress | Within Databricks | Self-host | Hosted or self-host | Self-host |
| Model deployment | Included (vLLM, TGI, Triton) | Databricks serving | No | No | No |
| Observability | Built-in, per-tool | Inference tables, system tables | Via integrations | Observability-first | Via Kong plugins |
| Compliance | SOC 2, HIPAA, GDPR | Databricks enterprise | Commercial tier | Enterprise tier | Kong enterprise |
Related reading
- TrueFoundry MCP Gateway overview (docs): the agent and tool governance layer
- Metrics Dashboard (docs): token cost, latency, and per-tool metrics
- OpenRouter vs Portkey (2026): how Portkey compares to another router
Conclusion
Mosaic AI Gateway is a strong governance layer when everything lives in Databricks. Once AI has to run across clouds, outside the lakehouse, or in your own VPC, that coupling becomes the constraint. Among the Databricks AI Gateway alternatives, TrueFoundry is the best fit for production LLM and agent workloads because it is AI-native, platform-independent, and governs models and tools in one place.
If you are running AI beyond the lakehouse, book a demo or explore the TrueFoundry AI Gateway.
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