Qdrant vs Meilisearch
Rust-based vector DB — high performance, OSS, managed cloud
vs. Open-source fast search engine — Rust-based, built-in typo tolerance
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
Meilisearch
Self-Hosted (OSS)
MIT license. Single Rust binary. Run anywhere.
$0 base (usage-based)
Cloud — Resource-Based
$23/mo. Pay by CPU/RAM/storage. For high-traffic + vector workloads.
$23/mo
Cloud — Usage-Based
$30/mo. Pre-set search + document limits. 14-day trial. For MVPs/mid-scale.
$30/mo
Cloud — Enterprise
Custom. Self-hosting option + premier support + SLA + compliance.
Custom
Free-tier quotas head-to-head
Comparing free on Qdrant vs oss on Meilisearch.
| Metric | Qdrant | Meilisearch |
|---|---|---|
| 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.
Meilisearch · 15 features
- AI-Powered Search (experimental) — Semantic search, embedders.
- API Keys — Scoped keys with action + index + expiration.
- Custom Ranking Rules — Order ranking rules per index.
- Dumps & Snapshots — Full-DB export + snapshot backups.
- Faceted Search — Dynamic facets with counts.
- Federated Search — Multi-index search in one query with normalization.
- Filters — Filter by boolean / range / string conditions.
- Geo Search — Radius + bounding box geo queries.
- instant-meilisearch — Adapter to use Algolia InstantSearch UI libs with Meilisearch.
- Search — Full-text search with typo + prefix handling.
- Sortable Fields — Sort results by any attribute.
- Stop Words — Ignored common words.
- Synonyms — Configure synonym groups per index.
- Tenant Tokens — Short-lived multi-tenant auth tokens.
- Vector / Hybrid Search — Vector search with keyword hybrid mode.
Developer interfaces
| Kind | Qdrant | Meilisearch |
|---|---|---|
| CLI | — | meilisearch CLI |
| SDK | go-client, java-client, qdrant-client (py), qdrant-client (rust), qdrant-dotnet, @qdrant/js-client-rest | instant-meilisearch (Algolia UI adapter), meilisearch-go, meilisearch-js, meilisearch-php, meilisearch-python, meilisearch-ruby, meilisearch-rust, meilisearch-swift |
| REST | Qdrant REST API | Meilisearch REST API |
| MCP | Qdrant MCP | — |
| OTHER | Qdrant gRPC | — |
Staxly is an independent catalog of developer platforms. Outbound links to Qdrant and Meilisearch are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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