Qdrant
A vector database for storing, searching, and managing high-dimensional vectors with filtering and payload support
- Also known as
- qdrant
Available worldwide
What is Qdrant?
A vector database engine that provides fast similarity search over high-dimensional vectors, available in managed cloud, self-hosted open source, and hybrid deployment models for AI applications.
Qdrant pricing
We don't have Qdrant's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Usage-based pricing billed monthly based on CPU, memory, and disk storage consumption. Free tier available.
What Qdrant does
The capabilities that matter for vector databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment
- Self-hosted
- Serverless / consumption pricing
- -
- ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
- HNSW
- Distance metrics (cosine / dot / Euclidean)
- dot product
- Metadata filtering
- -
- Hybrid search (dense + sparse fusion)
- ✓
- Built-in BM25 / lexical
- ✓
- Quantization
- Scalar
- On-disk vs in-memory
- Disk-backed
- Multi-tenancy (namespaces / collections / tenants)
- ✓
- Horizontal scale
- Sharded / distributed
- Consistency
- -
- Licence class
- Source-available
- Purpose-built vs feature-of-parent
- Dedicated DBMS
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Hybrid
- On-premise
- Self-hosted
Integrations (10)
Independently observed- Cohere⇄•
- Slack
- Adobe
- Hubspot
- Arize
- Google DeepMind
- Qualcomm
- AWS•
- GCP•
- Azure•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Qdrant FAQ
Common questions about Qdrant, answered from independent, dated evidence.
What is Qdrant?
A vector database engine that provides fast similarity search over high-dimensional vectors, available in managed cloud, self-hosted open source, and hybrid deployment models for AI applications. It is indexed under Vector Databases.
Source: https://qdrant.tech/documentation/cloud-pricing-payments/
Is Qdrant free?
Qdrant offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.
Source: https://qdrant.tech/documentation/cloud-pricing-payments/
What platforms does Qdrant support?
We have confirmed browser-based access to Qdrant. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.
Source: https://qdrant.tech/documentation/cloud-pricing-payments/
Can Qdrant be self-hosted?
Yes. Qdrant can be deployed cloud / SaaS, hybrid, on-premise, air-gapped and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://qdrant.tech/documentation/cloud-pricing-payments/
What does Qdrant integrate with?
We have confirmed 6 integrations for Qdrant, including Slack, Adobe, Hubspot, Arize, Google DeepMind and Qualcomm. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://qdrant.tech
What security certifications does Qdrant have?
We have independently confirmed SOC 2, HIPAA and GDPR for Qdrant. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Qdrant not holding them. Always confirm compliance directly before you rely on it.
Source: https://qdrant.tech
Is Qdrant open source?
Yes. Qdrant is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Source: https://github.com/qdrant/qdrant
Qdrant alternatives
Other vector databases we track, ranked by the same independent score.
- Zilliz CloudA fully managed cloud service for storing, indexing, and searching high-dimensional vector data at scalemedium · 74%
- PineconeManaged vector database infrastructure for machine learning applicationshigh · 75%
- TurbopufferA database combining vector similarity and text search built on cloud storagemedium · 61%
- EpsillaCreate AI agents without needing engineering resourceslow · 30%
- Chromamedium · 70%
- WeaviateA vector database platform designed for building AI-powered semantic search applicationshigh · 75%
Compare Qdrant
Side by side against other vector databases, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Qdrant, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Development activity | 63 | 0.14 | 8.5 | ✓ |
| Release cadence | 90 | 0.08 | 7.3 | ✓ |
| Security posture | 55 | 0.12 | 6.7 | ✓ |
| Capabilities | 58 | 0.08 | 4.6 | ✓ |
| Stars | 86 | 0.05 | 4.0 | ✓ |
| Integrations | 20 | 0.05 | 1.1 | ✓ |
| Dependent projects | 0 | 0.05 | 0.0 | ✓ |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-09-10 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 63% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Ann index: HNSW · Deployment: self_hosted · Quantization: scalar · Storage tier: disk_backed · Hybrid search: Yes · Licence class: source_available | mediumsource · 2026-09-10 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 4 | mediumsource · 2026-09-10 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Rust | highsource · 2026-09-10 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-09-10 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | mediumsource · 2026-09-10 · 50% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Hipaa | Yes | highsource · 2026-08-14 · 75% |
| Soc2 | Yes | lowsource · 2026-09-10 · 48% |
| Gdpr | Yes | highsource · 2026-08-14 · 75% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=nixpkgs&package_name=qdrant&per_page=100 · Last 12m: 0 | highsource · 2026-09-10 · 90% |
| Trust center | https://qdrant.tech/documentation/security/ | mediumsource · 2026-09-10 · 60% |
Is Qdrant the right choice for you?
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