Qdrant: 셀프 호스팅과 하이브리드 검색을 지원하는 오픈소스 벡터 데이터베이스이지만, Pinecone보다 인프라 관리 관리가 더 필요합니다. Pinecone는 월간 방문 286,732, 전월 대비 성장률 -31%, 무료+유료, 유료, 가격 문의 가격 모델을 기록합니다. Qdrant는 월간 방문 72,992, 성장률 -38.4%, 무료+유료, 가격 문의 가격 모델을 기록합니다.
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
Qdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
| 항목 / 지표 | ||
|---|---|---|
| 공식 도메인 | pinecone.io | qdrant.io |
| 가격 모델 | 무료+유료, 유료, 가격 문의 | 무료+유료, 가격 문의 |
| 월간 방문 수 | 28.67만 (286,732) | 7.3만 (72,992) |
| 전월 대비 트래픽 변화량 | -12.89만 (-31%) | -4.54만 (-38.4%) |
| 주요 시장 및 점유율 | 🇺🇸 미국 (30.2%) | 🇮🇳 인도 (46%) |
| 월 직접 방문 수 | 11.86만 | 4.38만 |
| 사용자 평점 | 4.8 | 4.6 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
Store and query vector embeddings with automatic indexing that requires no manual tuning or algorithm selection.
Writes are acknowledged in under 100ms and become searchable within seconds, while all data is searched in parallel so speed holds at scale.
Connect agents to Pinecone through plugins for Claude Code, Cursor, Copilot, Codex, Gemini CLI, MCP, or a direct REST API with one key.
Serve compiled, governed enterprise knowledge to agents through a single query, cutting token usage and latency versus multi-step RAG loops.
Qdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
Built entirely in Rust with SIMD and a custom Gridstore storage engine for fast, scalable vector search.
Combine dense and sparse vectors in one query, supporting BM25, SPLADE++ and miniCOIL for keyword-plus-vector retrieval.
Store metadata as JSON and apply advanced filters such as nested, text, geo and has_vector, with filters applied during HNSW traversal.
Asymmetric, scalar and binary quantization reduce memory usage by up to 64x while preserving search quality.

특화 강점지속적인 AI 에이전트 컨텍스트를 위해 설계된 벡터 그래프 메모리 API로, Pinecone보다 더 고차원의 에이전트 메모리 기능을 제공합니다.
특화 강점지속적인 AI 에이전트 컨텍스트를 위해 설계된 벡터 그래프 메모리 API로, Pinecone보다 더 고차원의 에이전트 메모리 기능을 제공합니다.

Zilliz is the company behind Milvus, the open-source vector database, and offers Zilliz Cloud — a fully managed vector database service built for large-scale AI retrieval, RAG, and similarity search workloads.


특화 강점엔드투엔드 문서 수집 및 파싱을 처리하는 관리형 RAG API인 반면, Pinecone은 순수하게 벡터 저장소에 집중합니다.

SvectorDB is a natively serverless vector database designed around AWS. It offers pay-per-request pricing, hybrid key-value filtering, built-in text and image vectorizers, and CloudFormation support, making it cheap and simple to add semantic search or recommendations to an existing cloud stack.
SvectorDB is a natively serverless vector database designed around AWS. It offers pay-per-request pricing, hybrid key-value filtering, built-in text and image vectorizers, and CloudFormation support, making it cheap and simple to add semantic search or recommendations to an existing cloud stack.