Qdrant Review: Features, Pricing & Integrations 2026
From free to $65/mo and rated 4.5/5, this Rust-based database delivers top-tier search speed and multimodal named vectors, though clustering remains weak.
Expert Analysis of Qdrant
Self-hosting teams pay nothing at all, at any size, under Apache 2.0. Cloud buyers get no published unit rates: Qdrant meters CPU, memory and disk by the hour and sends you to a calculator. The free cluster has no failover and no shard rebalancing.
Oleh KemFounder & Lead AnalystPayload-Based Filtered Vector Search at Full Speed
Qdrant's HNSW indexes integrate payload filtering natively, executing filtered nearest-neighbor search without a post-filter scan step, maintaining sub-50ms latency on complex metadata filters.
Sparse Vector Support for Hybrid Lexical-Semantic Search
Qdrant supports sparse vectors natively alongside dense vectors, enabling BM25 and embedding search in the same collection for hybrid retrieval without maintaining two separate indexes.
On-Disk Indexing for Large Collections Without RAM Scaling
Qdrant's on-disk HNSW stores vectors on SSD while keeping only graph navigation data in RAM, serving collections larger than server memory at acceptable latency for cost-sensitive deployments.
Open Source (Self-Hosted)
Open SourceBest for: Ideal for users who prefer full control and self management of their vector database
- ✓Apache 2.0 licensed
- ✓Full data sovereignty
- ✓Runs on your own infrastructure
- ✓Zero licensing cost at any scale
Showing 3 of 6 plans. See all plans & API pricing →
Prices last verified July 8, 2026
Monitored Plans & Rates
Currently TrackingComparEdge is tracking Qdrant pricing. No price changes recorded since monitoring began.
The Final Verdict: Is Qdrant Right for You?
A top-rated vector databases tool with 16 features and a free plan - excellent for Teams needing fast, self-hosted vector search.
Top Pros
- Top benchmark performance via Rust and quantization
- Named vectors enable multimodal and complex search patterns
- Binary quantization reduces memory 32x
Watch Out For
- The area for improvement in Qdrant is its clustering capability.
Developer Integrations
Oleh KemFounder & Lead AnalystExpert verified·Updated July 8, 2026·Our methodologyFrequently Asked Questions About Qdrant
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Sources & verification
| Source | What was checked | Last checked |
|---|---|---|
| Official Website | Official vendor website | — |
| Official Pricing Page | Source of verified tiers | July 8, 2026 |
| G2 | G2 verified user reviews · 4.5/5 · 12 reviews | — |
| PeerSpot | PeerSpot enterprise peer reviews | — |
Every fact on this Qdrant pricing page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.
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