Qdrant vs Firecrawl
Rust-based vector DB — high performance, OSS, managed cloud
vs. AI-native web scraping + crawling API — LLM-ready data extraction
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
Firecrawl
Free
500 credits one-time. 2 concurrent requests. For exploration.
Free
Self-Hosted (OSS)
AGPL-3.0 licensed. Run on your own infra.
$0 base (usage-based)
Hobby
$19/month ($16 annual). 3,000 credits/month. 5 concurrent.
$19/mo
Standard
$99/month ($83 annual). 100,000 credits. 50 concurrent. Most popular.
$99/mo
Growth
$399/month ($333 annual). 500,000 credits. 100 concurrent.
$399/mo
Enterprise
Custom. Dedicated support + SLA, bulk discounts, zero-data retention, SSO, advanced security.
Custom
Free-tier quotas head-to-head
Comparing free on Qdrant vs free on Firecrawl.
| Metric | Qdrant | Firecrawl |
|---|---|---|
| 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.
Firecrawl · 16 features
- Batch Scrape — Scrape many URLs in parallel.
- Crawl — Crawl an entire site following links. Returns all pages.
- Custom Headers/Cookies — Scrape behind login via headers.
- Deep Research (beta) — AI agent that autonomously researches a query across many sites.
- Extract (AI) — Structured extraction with a JSON schema → Firecrawl runs LLM for you.
- JavaScript Rendering — Headless browser handles SPAs, React/Vue sites.
- LLM-Ready Markdown — Cleaned + normalized Markdown optimized for LLM ingestion.
- Map — Fast — returns all URLs on a site without fetching content.
- MCP Server — Official MCP for Claude / Cursor / Agents.
- Open Source (AGPL) — Self-host the entire stack via Docker.
- PDF Parsing — Extract text from PDFs.
- Residential Proxies — Bypass anti-bot + geoblocks (paid).
- Scrape — Single URL → clean markdown/JSON/HTML.
- Screenshots — Visual screenshot alongside content.
- Search (beta) — Google-like search API returning results + content.
- Structured Output — Extract to JSON schema via LLM.
Developer interfaces
| Kind | Qdrant | Firecrawl |
|---|---|---|
| CLI | — | Firecrawl CLI |
| SDK | go-client, java-client, qdrant-client (py), qdrant-client (rust), qdrant-dotnet, @qdrant/js-client-rest | firecrawl-go, firecrawl-js, firecrawl-py |
| REST | Qdrant REST API | Firecrawl REST API |
| MCP | Qdrant MCP | Firecrawl MCP Server |
| OTHER | Qdrant gRPC | — |
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