AI Infrastructure alternatives
Gemini Enterprise Agent Platform (formerly Vertex AI) alternatives
The most-used ai infrastructure tools compared with Gemini Enterprise Agent Platform (formerly Vertex AI) — pricing, strengths, and who each one is best for.
The 8 best alternatives to Gemini Enterprise Agent Platform (formerly Vertex AI)
Each tool below is a same-category competitor. Click Compare for a side-by-side breakdown against Gemini Enterprise Agent Platform (formerly Vertex AI).
Amazon BedrockPaidAWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
- Multiple model providers through one managed service
- Stays inside AWS security, IAM, and compliance
Microsoft Azure's managed access to OpenAI models, deployed within an enterprise Azure tenant with its security and compliance controls.
- OpenAI models inside the Azure governance boundary
- Private networking and Entra ID identity
ExaFreemiumA search API built for AI agents rather than humans — structured outputs, token-efficient highlights, and sub-200ms responses.
- Roughly 90% token reduction versus fetching full pages
- Structured JSON output against your own schema
FirecrawlFreemiumTurns any website into clean, structured markdown or JSON for AI pipelines — scrape, crawl, map, and search with published per-credit pricing.
- Fully published pricing ladder — rare in this category
- Handles JavaScript rendering and messy layouts
OpenRouterPaidA unified API and marketplace that routes requests to hundreds of models from many providers through a single endpoint and bill.
- One API for hundreds of models
- Easy price and latency comparison
Browser UseFreemiumGive an agent a natural-language task and it drives a real browser to completion — open source library, or managed cloud browsers.
- Open source core — evaluate locally before spending anything
- Genuinely cheap per browser-hour, metered by the minute
Databricks Mosaic AIEnterpriseDatabricks' suite for building, governing, and serving production AI — agents, RAG, fine-tuning, and evaluation — on top of your governed data.
- AI built directly on governed lakehouse data
- Unity Catalog lineage and access control extend to AI
Amazon Bedrock AgentCoreEnterpriseAWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
- Framework-agnostic — keep LangGraph, CrewAI, or a custom loop
- Managed identity, memory, gateway, and observability primitives
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