Qdrant: 支援自架與混合搜尋的開源向量資料庫,但相比 Pinecone 需要更多基礎設施管理。 Pinecone 每月有 286,732 次造訪,月增率 -31%,定價模式為免費增值、付費、需聯絡報價。Qdrant 每月有 72,992 次造訪,成長率 -38.4%,定價模式為免費增值、需聯絡報價。
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.
| 面向/指標 | ||
|---|---|---|
| 官方網域 | pinecone.io | qdrant.io |
| 定價模式 | 免費增值、付費、需聯絡報價 | 免費增值、需聯絡報價 |
| 每月造訪次數 | 28.67萬 (286,732) | 7.3萬 (72,992) |
| 月流量變化量 | -12.89萬 (-31%) | -4.54萬 (-38.4%) |
| 主要市場與市佔 | 🇺🇸 美國 (30.2%) | 🇮🇳 印度 (46%) |
| 每月直接造訪 | 11.86萬 | 4.38萬 |
| 使用者評分 | 4.8 | 4.6 |
| 支援平台 | 網站 | 網站 |
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.

專項更強專為持久化 AI 代理脈絡而設計的向量圖形記憶體 API,提供比 Pinecone 更高階的代理記憶體功能。

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.

專項更強託管的 RAG API,可處理端到端的檔案匯入與解析,而 Pinecone 則專注於純粹的向量儲存。

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.