Qdrant vs CrewAI
Rust-based vector DB — high performance, OSS, managed cloud
vs. Role-playing multi-agent framework — agents that work together
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
CrewAI
OSS (MIT)
MIT-licensed Python framework. Free forever.
$0 base (usage-based)
Enterprise
Managed CrewAI Enterprise — deploy + monitor Crews in the cloud. Custom pricing.
Custom
Free-tier quotas head-to-head
Comparing free on Qdrant vs oss on CrewAI.
| Metric | Qdrant | CrewAI |
|---|---|---|
| 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.
CrewAI · 11 features
- CrewAI Enterprise UI — Managed cloud for deploying + monitoring crews.
- Hierarchical Process — Manager agent delegates to workers.
- Human Input — human_input=True pauses for human review/approval.
- MCP Tool Support — Consume MCP servers as Agent tools.
- Memory — Short-term, long-term, entity memory per Crew/Agent.
- Observability Integrations — Langfuse, LangSmith, AgentOps, OpenLIT.
- Planning Feature — Optional planner agent that plans before task execution.
- Task Guardrails — Validate task output + retry with feedback.
- Testing — Test Crews deterministically with eval metrics.
- Tools — 70+ pre-built tools (search, scrape, file, vision, code exec).
- Training — Train agents from feedback loops.
Developer interfaces
| Kind | Qdrant | CrewAI |
|---|---|---|
| CLI | — | CrewAI CLI |
| SDK | go-client, java-client, qdrant-client (py), qdrant-client (rust), qdrant-dotnet, @qdrant/js-client-rest | crewai (Python) |
| REST | Qdrant REST API | CrewAI Enterprise |
| MCP | Qdrant MCP | — |
| OTHER | Qdrant gRPC | — |
Staxly is an independent catalog of developer platforms. Outbound links to Qdrant and CrewAI are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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