Portkey vs Pinecone
Enterprise AI gateway + observability + guardrails + prompt mgmt
vs. Managed vector database for AI — RAG, semantic search, recommendations
Pricing tiers
Portkey
Developer (Free)
Free forever. 10k logs/month. Universal API + key management. 3 prompt templates. Basic observability.
Free
Gateway (OSS)
MIT-licensed gateway only (no observability UI). Self-host for routing/fallbacks.
$0 base (usage-based)
Production
$49/month. 100k logs ($9 per additional 100k). Fallbacks, load balancing, retries, semantic caching. Unlimited prompts. RBAC.
$49/mo
Enterprise
Custom. 10M+ logs/month. Custom guardrails, advanced evals, SSO, budget controls, VPC + on-prem, SOC2, HIPAA, GDPR.
Custom
Pinecone
Starter (Free)
2 GB storage, 2M write units/mo, 1M read units/mo, up to 5 indexes. us-east-1 AWS only.
Free
Standard
$50/month minimum. Unlimited storage ($0.33/GB/mo) + writes ($4-4.50/M) + reads ($16-18/M). 20 indexes/project. Multi-region, multi-cloud.
$50/mo
HIPAA Add-on
$190/month add-on for HIPAA-eligible workloads.
$190/mo
Enterprise
$500/month minimum. Higher per-unit rates for dedicated infra + SLA. 200 indexes.
$500/mo
Free-tier quotas head-to-head
Comparing free on Portkey vs starter on Pinecone.
| Metric | Portkey | Pinecone |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Portkey · 18 features
- AI Gateway — Unified OpenAI-compatible API to 250+ LLMs.
- Alerts — Thresholds on latency, error rate, cost, usage.
- Budget Controls — Per-key + per-team spending limits.
- Evaluations — Built-in evaluator templates + custom.
- Fallbacks — Config-driven provider fallback chains.
- Guardrails — Pre/post processors for safety + compliance.
- Load Balancing — Round-robin, weighted, least-latency across providers.
- MCP Support — Use MCP servers as tools through gateway.
- Observability — Logs, traces, feedback, alerts, cost tracking.
- OSS Gateway — Open-source gateway (portkey-ai/gateway).
- Prompt Library — Shared prompt library + public marketplace.
- Prompt Templates — Version + test + collaborate on prompts.
- Retries — Configurable retry policies per route.
- Role-Based Access Control — Team permissions on prompts + keys.
- Semantic Caching — Vector-based cache on query meaning.
- Simple Caching — Exact-match cache.
- Virtual Keys — Per-app keys with budget + rate limits + permissions.
- VPC Deployment (Ent) — Deploy in your own VPC for compliance.
Pinecone · 13 features
- Backups + PITR — Automated + manual backups.
- HIPAA Eligible — BAA available via add-on.
- Metadata Filtering — Filter vectors on metadata at query time.
- Monitoring — Metrics endpoint, export to Datadog/Prometheus.
- Namespaces — Multi-tenancy inside an index. Isolate vectors per customer.
- Pinecone Assistant — RAG-as-a-service: upload docs → get a ready chat endpoint.
- Pinecone Inference — Hosted embedding models (multilingual-e5, llama-text-embed-v2, etc.) inside data…
- Pod-Based Indexes — Dedicated pods (p1, s1, p2) for consistent low-latency workloads.
- Private Networking — AWS PrivateLink / VPC peering on Enterprise.
- RBAC — Per-project + per-API-key roles.
- Rerank (Cohere-backed) — Optional reranker on top of vector search.
- Serverless Indexes — Pay per use. No provisioning. Auto-scales.
- Sparse-Dense Vectors — Hybrid search: sparse (keyword) + dense (semantic) together.
Developer interfaces
| Kind | Portkey | Pinecone |
|---|---|---|
| CLI | Portkey CLI | Pinecone CLI |
| SDK | portkey-ai (Node), portkey-ai (Python) | go-pinecone, @pinecone-database/pinecone, pinecone-java-client, Pinecone.NET, pinecone (Python) |
| REST | Portkey API (OpenAI-compat) | Data Plane (per-index), Pinecone Control Plane |
| MCP | Portkey MCP | Pinecone MCP |
| OTHER | Portkey Dashboard | — |
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