# Qdrant

According to OpenAITools.app telemetry verified on 2026-11-11, Qdrant (qdrant.io) is an AI platform indexed under AI Search Engine generating 72.99K monthly visits with a month-over-month traffic delta of -45.42K (-38.4%). Its primary geographic market is India (46% traffic share), and it operates on a Freemium, Contact for Pricing pricing model. Top competing alternatives by monthly volume include Pinecone (286.73K visits/mo), Meilisearch (119.71K visits/mo), Shaped (11.87K visits/mo).

Open-source, high-performance vector search at any scale

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Qdrant |
| Handle | qdrant-io |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| Official Domain | qdrant.io |
| Website URL | https://qdrant.tech/ |
| Categories | AI Search Engine, AI API, AI Developer Tools, AI Agent, Large Language Models (LLMs), Open Source AI Models |
| Pricing Model | Freemium, Contact for Pricing |
| Monthly Visits | 72,992 |
| MoM Traffic Change | -45,421 |
| MoM Growth Rate | -38.4% |
| Primary Market | India |
| Market Share | 46% |
| Direct Visits | 43,793 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 13,130 |
| Email Visits | 3,055 |
| Review Score | 4.6 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Freemium; Pricing: Contact for Pricing |
| Tags | vector database, vector search engine, neural network, matching, SaaS, approximate nearest neighbor search, image search, recommender system, vectors, knn algorithm, hnsw, vector search, embeddings, similarity, simaes networks, BERT, transformer, word2vec, fasttext, RAG, anomaly detection, AI agents |

## Overview

Qdrant is an open-source vector database and similarity search engine written in Rust. It stores vectors alongside JSON metadata and answers nearest-neighbor queries so applications can retrieve relevant items by meaning rather than exact keywords. The engine includes a custom storage layer (Gridstore), real-time indexing without full rebuilds, and quantization techniques that reduce memory use dramatically for large collections.

For retrieval quality, Qdrant supports native hybrid search that blends dense and sparse vectors in a single query — with BM25, SPLADE++ and miniCOIL — plus multivector storage, one-stage filtering during HNSW traversal, and reranking options such as score boosting, ColBERT-style late interaction and MMR diversification. Common applications include RAG and GenAI pipelines, AI agents with persistent memory, semantic search, recommendation systems, and anomaly detection.

Deployment is flexible: run the open-source engine yourself, or use Qdrant Cloud (managed, usage-based, on AWS, GCP or Azure), Hybrid Cloud (managed clusters in your own Kubernetes), Private Cloud (air-gapped and compliant setups) or the newer Qdrant Edge for low-latency local search. Free-tier cloud clusters, SOC 2 and HIPAA aligned posture, and enterprise tooling like SSO, RBAC and Prometheus/Grafana integrations make it suitable for both prototypes and production.

## Pricing & Plans

The open-source engine is free to self-host. Qdrant Cloud offers a free-forever tier (single node, 0.5 vCPU / 1GB RAM / 4GB disk), usage-based Standard pricing for production (compute, memory, storage plus paid inference tokens), and sales-led Premium, Hybrid and Private Cloud plans.

## Key Features & Capabilities

- **High-performance vector engine:** Built entirely in Rust with SIMD and a custom Gridstore storage engine for fast, scalable vector search.
- **Native hybrid search:** Combine dense and sparse vectors in one query, supporting BM25, SPLADE++ and miniCOIL for keyword-plus-vector retrieval.
- **Expansive metadata filtering:** Store metadata as JSON and apply advanced filters such as nested, text, geo and has_vector, with filters applied during HNSW traversal.
- **Memory-efficient quantization:** Asymmetric, scalar and binary quantization reduce memory usage by up to 64x while preserving search quality.
- **Developer-friendly APIs and Web UI:** Use REST, gRPC or official clients (Python, JavaScript and more), a built-in Web UI, and native cloud inference for text and image embeddings.

## Primary Use Cases

- **Build RAG and GenAI pipelines (ML and AI engineers):** Power retrieval-augmented generation with hybrid dense and sparse retrieval, metadata filters and fresh updates for context-rich answers.
- **Add memory to AI agents (Agent developers):** Give agents persistent memory and fast similarity search so they stay context-aware across long interactions.
- **Power search and recommendations (E-commerce and product teams):** Serve semantic search and personalized recommendations over millions of items using real-time similarity matching.
- **Analyze data and detect anomalies (Data and analytics teams):** Detect outliers and anomalies by finding patterns that deviate from normal behavior across large datasets.

## Strengths

- Open-source core with a generous free cloud tier for prototyping
- Strong performance and Rust-based engineering trusted by 35k+ GitHub stars
- Native hybrid search and one-stage filtering simplify production retrieval
- Deploy anywhere: cloud, hybrid, private or edge, plus SOC 2, HIPAA, SSO and RBAC tooling

## Limitations

- Requires engineering effort to set up and operate compared with turnkey managed services
- Advanced capabilities like quantization, hybrid search and multivector retrieval assume solid technical understanding
- Premium and private cloud tiers are sales-led with no published price list

## Frequently Asked Questions

### What is Qdrant?
Qdrant is an open-source vector database and search engine written in Rust. It stores vectors with metadata and performs fast approximate nearest neighbor search for AI retrieval, recommendations, RAG and AI agents.

### Is Qdrant free?
Yes. The open-source engine is free to self-host, and Qdrant Cloud has a free tier with a single-node cluster (0.5 vCPU, 1GB RAM, 4GB disk).

### How does Qdrant Cloud pricing work?
Cloud pricing is usage-based. Daily/weekly granularity is not published as fixed tiers — instead you pay for compute (vCPU), memory, storage, backup storage and paid inference tokens consumed, billed hourly and visible in the dashboard.

### Can I run Qdrant on my own infrastructure?
Yes. Qdrant offers a managed cloud on AWS, GCP and Azure, a hybrid cloud that runs managed clusters in your own infrastructure, and a private cloud option for air-gapped or regulated deployments.

### What can I build with Qdrant?
Use cases include RAG and GenAI, AI agents with persistent memory, semantic search, recommendation systems, and data analysis and anomaly detection.

### What is Qdrant's monthly traffic and growth trend?
Qdrant currently receives 72.99K monthly visits, with a month-over-month traffic change of -45.42K (-38.4% growth rate). Its primary source market is India (46% share), including 43.79K direct visits/mo and — organic search visits/mo.

### Is Qdrant free? What is its pricing model?
Qdrant operates on a Freemium, Contact for Pricing pricing model. The open-source engine is free to self-host. Qdrant Cloud offers a free-forever tier (single node, 0.5 vCPU / 1GB RAM / 4GB disk), usage-based Standard pricing for production (compute, memory, storage plus paid inference tokens), and sales-led Premium, Hybrid and Private Cloud plans. Supported billing and checkout platforms include: not listed.

### What are the best Qdrant alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Qdrant are: 1. Pinecone (286.73K visits/mo); 2. Meilisearch (119.71K visits/mo); 3. Shaped (11.87K visits/mo); 4. Algolia (689.97K visits/mo); 5. Zilliz (108.89K visits/mo).

### Which platforms and core AI capabilities does Qdrant support?
Qdrant is classified under AI Search Engine, AI API, AI Developer Tools, AI Agent, supports the following platforms: Website, and its core capability tags include: vector database, vector search engine, neural network, matching, SaaS, approximate nearest neighbor search.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/pinecone-vs-qdrant-io) |
| [Meilisearch](https://openaitools.app/tool/meilisearch) | 119,713 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/meilisearch-vs-qdrant-io) |
| [Shaped](https://openaitools.app/tool/shaped) | 11,871 | Contact for Pricing | [Compare](https://openaitools.app/compare/qdrant-io-vs-shaped) |
| [Algolia](https://openaitools.app/tool/algolia) | 689,970 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/algolia-vs-qdrant-io) |
| [Zilliz](https://openaitools.app/tool/zilliz) | 108,886 | Freemium, Paid, Free, Contact for Pricing | [Compare](https://openaitools.app/compare/qdrant-io-vs-zilliz) |
| [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/exa-ai-vs-qdrant-io) |
| [Trieve](https://openaitools.app/tool/trieve) | 1,946 | Contact for Pricing | [Compare](https://openaitools.app/compare/qdrant-io-vs-trieve) |
| [Polygres](https://openaitools.app/tool/polygres) | 4,018 | Freemium | [Compare](https://openaitools.app/compare/polygres-vs-qdrant-io) |
| [HydraDB OSS](https://openaitools.app/tool/hydradb-oss) | 29,635 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-qdrant-io) |
| [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | Freemium, Paid | [Compare](https://openaitools.app/compare/jina-ai-vs-qdrant-io) |
| [MyScale](https://openaitools.app/tool/myscale-com) | 19,350 | Contact for Pricing, Free | [Compare](https://openaitools.app/compare/myscale-com-vs-qdrant-io) |
| [SvectorDB](https://openaitools.app/tool/svectordb) | 4,760 | Freemium | [Compare](https://openaitools.app/compare/qdrant-io-vs-svectordb) |

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Source: https://openaitools.app/tool/qdrant-io