Qdrant vs Portkey
Rust-based vector DB — high performance, OSS, managed cloud
vs. Enterprise AI gateway + observability + guardrails + prompt mgmt
Pricing tiers
Qdrant
Free Forever
Single-node 0.5 vCPU / 1 GB RAM / 4 GB disk. Free cloud inference models.
Free
Standard
Usage-based. Dedicated resources, flexible scaling. 99.5% SLA. Backups + DR. Free inference tokens.
$0 base (usage-based)
Self-Host (OSS)
Apache 2.0 licensed. Run for free.
$0 base (usage-based)
Hybrid Cloud (BYOC)
Run managed cluster on your infra. Data stays in your network.
Custom
Premium
Min spend required. SSO + private VPC links. 99.9% SLA. 24x7 enterprise support.
Custom
Private Cloud
Dedicated + isolated. Custom SLA. Large enterprise.
Custom
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
Free-tier quotas head-to-head
Comparing free on Qdrant vs free on Portkey.
| Metric | Qdrant | Portkey |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Qdrant · 13 features
- BYOC (Hybrid Cloud) — Managed Qdrant in your cloud account.
- Cloud Inference — Hosted embedding models for free tokens.
- Cluster Monitoring — Prometheus metrics + health.
- Collections — Typed collections with named vectors + payload schema.
- Distributed — Horizontal sharding + Raft replication.
- Hybrid Search — Sparse + dense + keyword in one query.
- Multi-Vector — Multiple vectors per point (text + image, etc.).
- Open Source — Apache 2.0 licensed.
- Payload Filters — Rich filter DSL with indexed fields.
- Quantization — Scalar + product + binary for memory reduction.
- RBAC — API-key scopes + roles.
- Snapshots + Restore — Backup + DR primitives.
- Sparse Vectors — BM25 + SPLADE sparse embeddings natively.
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.
Developer interfaces
| Kind | Qdrant | Portkey |
|---|---|---|
| CLI | — | Portkey CLI |
| SDK | go-client, java-client, qdrant-client (py), qdrant-client (rust), qdrant-dotnet, @qdrant/js-client-rest | portkey-ai (Node), portkey-ai (Python) |
| REST | Qdrant REST API | Portkey API (OpenAI-compat) |
| MCP | Qdrant MCP | Portkey MCP |
| OTHER | Qdrant gRPC | Portkey Dashboard |
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