Qdrant: セルフホストやハイブリッド検索に対応するオープンソースのベクトルDBですが、Pineconeよりもインフラ管理の手間がかかります。 Pinecone は月間 286,732 訪問、前月比成長率 -31%、料金体系フリーミアム、有料、料金は要問い合わせを記録しています。Qdrant は月間 72,992 訪問、成長率 -38.4%、料金体系フリーミアム、料金は要問い合わせを記録しています。
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.
| 項目 / 指標 | ||
|---|---|---|
| 公式ドメイン | pinecone.io | qdrant.io |
| 料金モデル | フリーミアム、有料、料金は要問い合わせ | フリーミアム、料金は要問い合わせ |
| 月間訪問数 | 28.67万 (286,732) | 7.3万 (72,992) |
| 前月比トラフィック増減 | -12.89万 (-31%) | -4.54万 (-38.4%) |
| 主要市場とシェア | 🇺🇸 アメリカ合衆国 (30.2%) | 🇮🇳 インド (46%) |
| 月間ダイレクト訪問数 | 11.86万 | 4.38万 |
| ユーザー評価 | 4.8 | 4.6 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |
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.

特化型永続的なAIエージェントのコンテキスト向けに設計されたベクトルグラフメモリAPIで、Pineconeよりも高度なエージェントメモリ機能を提供します。

無料・オープンソースセルフホストもクラウドも選べる超高速検索エンジン

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.

無料・オープンソースオブジェクトストレージ上に構築された、AI エージェント記憶のためのグラフデータベース

特化型エンドツーエンドのドキュメント取り込みと解析を処理するマネージドRAG APIですが、Pineconeはベクトルストレージに特化しています。

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.