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Vector Database Selection Guide: Interactive Comparison

· 8 min read
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{name:'Pinecone',type:'Managed Cloud',cat:['managed','enterprise'],desc:'Fully managed, serverless vector database optimized for production RAG. Zero infrastructure overhead with excellent query performance at billion-scale.',metrics:[{k:'Max Vectors',v:'Billions'},{k:'P95 Latency',v:'40-80ms'},{k:'Free Tier',v:'100K vecs'},{k:'Price',v:'$$$'}],pros:['Zero ops','Excellent filtering','High availability'],cons:['Expensive at scale','Vendor lock-in'],tags:['Managed','Production','Serverless']},
{name:'Weaviate',type:'Open Source + Cloud',cat:['opensource','managed','enterprise','filtered'],desc:'Open-source vector database with hybrid search (BM25 + vector), multi-modal support, and a managed cloud option. Excellent for complex retrieval pipelines.',metrics:[{k:'Max Vectors',v:'Billions'},{k:'P95 Latency',v:'30-70ms'},{k:'Free Tier',v:'Sandbox'},{k:'Price',v:'$$'}],pros:['Hybrid search','Multi-modal','GraphQL API'],cons:['Complex setup','Heavy resource usage'],tags:['Open Source','Hybrid Search','Multi-modal']},
{name:'Qdrant',type:'Open Source + Cloud',cat:['opensource','managed','enterprise','filtered'],desc:'Rust-based vector database with powerful filtering capabilities. Benchmarks consistently show the best过滤 + search performance in the open-source space.',metrics:[{k:'Max Vectors',v:'Billions'},{k:'P95 Latency',v:'20-50ms'},{k:'Free Tier',v:'1GB Cloud'},{k:'Price',v:'$$'}],pros:['Rust performance','Rich filtering','Payload indexes'],cons:['Smaller community','Newer ecosystem'],tags:['Open Source','Fast','Filtering']},
{name:'Milvus',type:'Open Source + Cloud',cat:['opensource','managed','enterprise'],desc:'The most scalable open-source vector database, designed for billion-scale with GPU-accelerated indexing. Used by thousands of enterprises worldwide.',metrics:[{k:'Max Vectors',v:'Billions+'},{k:'P95 Latency',v:'20-60ms'},{k:'Free Tier',v:'Self-hosted'},{k:'Price',v:'$-$$$'}],pros:['Massive scale','GPU indexing','Mature ecosystem'],cons:['Complex infrastructure','Resource heavy'],tags:['Open Source','Scalable','Enterprise']},
{name:'Chroma',type:'Open Source',cat:['opensource'],desc:'The developer-favorite lightweight vector DB. Perfect for prototyping, local development, and small-scale production. Simple Python API.',metrics:[{k:'Max Vectors',v:'Millions'},{k:'P95 Latency',v:'10-30ms'},{k:'Free Tier',v:'Unlimited*'},{k:'Price',v:'Free'}],pros:['Dead simple','Great for dev','Python-native'],cons:['Not production-scale','No managed option','Limited HA'],tags:['Open Source','Dev/Lightweight']},
{name:'pgvector',type:'PostgreSQL Extension',cat:['managed','opensource','enterprise','filtered'],desc:'Vector search as a PostgreSQL extension. If you already run PostgreSQL, this is the fastest path to production vector search with zero new infrastructure.',metrics:[{k:'Max Vectors',v:'Billions'},{k:'P95 Latency',v:'30-100ms'},{k:'Free Tier',v:'Self-hosted'},{k:'Price',v:'Free*'}],pros:['No new infra','ACID transactions','Existing tooling'],cons:['Not purpose-built','Index build slower'],Tags:['PostgreSQL','Transactional','Easy']},
{name:'Redis (Vector)',type:'In-Memory Store',cat:['managed','enterprise','serverless'],desc:'Add vector search to your existing Redis infrastructure. Unbeatable for real-time applications where vector search meets caching and session management.',metrics:[{k:'Max Vectors',v:'Billions'},{k:'P95 Latency',v:'5-20ms'},{k:'Free Tier',v:'30MB Redis'},{k:'Price',v:'$$'}],pros:['Sub-ms latency','Existing infra','Real-time'],cons:['Memory costs','RSAL license'],Tags:['Fast','Real-time','Redis']},
{name:'LanceDB',type:'Embedded',cat:['opensource','serverless'],desc:'Embedded vector database built on Lance columnar format. Runs in-process — no server needed. Excellent for edge, desktop apps, and multi-modal data.',metrics:[{k:'Max Vectors',v:'Millions'},{k:'P95 Latency',v:'5-15ms'},{k:'Free Tier',v:'Unlimited'},{k:'Price',v:'Free'}],pros:['Embedded','Zero server','Multi-modal'],cons:['Not distributed','Smaller community'],Tags:['Embedded','Edge','Zero-ops']}

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🗄️ Vector Database Selection Guide

Interactive comparison of 8 vector databases. Filter by your use case and find the best fit for your RAG pipeline.






Quick Comparison Table

Database License Managed Scale Best For
Pinecone Proprietary Billions Production RAG, zero-ops
Weaviate BSD-3 (Open) Billions Hybrid search, multi-modal
Qdrant Apache 2.0 (Open) Billions Fast filtering, Rust perf
Milvus Apache 2.0 (Open) Billions Massive scale, GPU index
Chroma Apache 2.0 (Open) Millions Dev/testing, lightweight
pgvector PostgreSQL License ✅* Billions Existing PostgreSQL users
Redis Vector RSALv2 / SSPL Billions Real-time, existing Redis
LanceDB Apache 2.0 (Open) Millions Embedded, edge, multi-modal

* pgvector runs on any PostgreSQL-compatible managed service (RDS, Supabase, Neon)

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