Who this comparison is for
AI Hub highlights
- Cross-cloud providers (OpenAI, Anthropic, Gemini, Mistral, HF)
- Chat storage/search, ratings, snippets out-of-box
- Monthly token quotas + usage dashboards
AWS Bedrock highlights
- Deep AWS integration & IAM controls
- Managed access to a set of foundation models
Capability matrix
| Capability | AI Hub | AWS Bedrock | Notes |
|---|---|---|---|
| Provider neutrality (multi-cloud) | Full | Partial | Bedrock models within AWS vs cross-ecosystem routing |
| Conversation memory & FTS search | Full | Manual | DIY with DynamoDB/OpenSearch if on AWS |
| Moderation policy + CSV audits | Full | Partial | Hub policy modes + export included |
| Usage quotas (hard) + dashboard | Full | Partial | Hub enforces monthly token ceilings |
| Jobs queue + AI.job.* events | Full | Manual | SQS/Lambda DIY on AWS |
| Admin key vault (workspace-scoped) | Full | Manual | Hub ships vault; AWS Secrets Manager optional DIY |
| Redis memo-cache for deterministic calls | Full | Manual | DIY ElastiCache or similar |
| Events bus for app integrations | Full | Manual | SNS/SQS wiring otherwise |
- Choose based on cloud posture and governance needs; many teams run AI Hub alongside Bedrock.
Total cost of ownership
Within AWS-only stacks, Bedrock centralizes access. If you also need chat UIs, audits, quotas, and cross-provider fallback, AI Hub reduces the amount of glue code and ongoing ops.
Assumptions
- Multi-product org shipping several AI features
- Need for cross-cloud portability / second-source
Migration plan
From AWS Bedrock · Adopt AI Hub for chat/governance while keeping Bedrock as a provider
-
1
Keep Bedrock as primary; add its creds to AI Hub KeyVault
-
2
Point apps to AI Hub Query API; enable UsageDaily quotas
-
3
Optionally add OpenAI/Anthropic/Gemini as fallback routes
-
4
Use Hub Chat API for memory/search without custom storage
Security
- AES-256-GCM at rest; TLS 1.2+ in transit; SAML-gated exports
- RBAC-permission checks: ai.chat.use / ai.backend.call / ai.configure
Evidence & sources
| Claim | Value | Source |
|---|---|---|
| Quotas & usage dashboard | Last-30-day rollups + hard ceilings | product_docs |
About AI Hub
AI Hub centralizes generative AI for your workspace with a single, policy-aware gateway to multiple providers. Teams get a streamlined chat experience with searchable history and feedback, a minimal Query API for quick prompts, and embeddings for retrieval workflows. Operators gain visibility with usage & cost tracking, quotas, and exportable audit logs.
Choose the best model for each task, fail over between providers, and moderate inputs/outputs with block/warn/allow policies. Keys are encrypted at rest and scoped per workspace. Long-running tasks run on a background worker and broadcast events so other apps can react in real time.
Designed for safety and speed: opinionated defaults, least-privilege access, and drop-in APIs that make it easy to bring AI to every surface of Velaxe.