# Vector Database Performance Benchmark 2026

> Comprehensive benchmark dataset comparing 10 vector databases across 19 fields including query latency (p50/p99), throughput, scalability limits, features like hybrid search and ACID compliance, SDK support, and managed pricing. Tested with 1M vectors at 1536 dimensions for RAG and AI search applications. Key highlights include Qdrant for lowest latency, Pinecone for managed scalability, and pgvector for ACID transactions.

- **URL:** https://www.salttechno.ai/datasets/vector-database-performance-benchmark-2026/
- **Category:** Benchmarks & Evaluation
- **Tags:** benchmark, Performance, scalability, 2026
- **Updated:** 2026-04-23 10:13
- **Canonical page:** https://vectordb.ever.works/it/items/vector-database-performance-benchmark-2026

## Details

## Overview

Q1 2026 benchmark of 10 vector databases: ChromaDB, Elasticsearch, Milvus, MongoDB Atlas, Pinecone, pgvector, Qdrant, Redis, Supabase, Weaviate. Evaluates latency, throughput, scaling, deployment options, features, and pricing under standardized conditions (1M vectors, 1536 dims).

## Performance Metrics

| Database | p50 (ms) | p99 (ms) | Throughput (vectors/sec) | Max Vectors | Max Dims |
|----------|----------|----------|---------------------------|-------------|----------|
| Qdrant | 4 | 25 | 8,000-20,000 | Billions (distributed) | 65,536 |
| Redis | 5 | 20 | 15,000-40,000 | 10-100M (RAM-bound) | 32,768 |
| Milvus | 6 | 35 | 10,000-30,000 | Billions+ (distributed) | 32,768 |
| Pinecone | 8 | 45 | 5,000-15,000 | Billions | 20,000 |
| ChromaDB | 12 | 70 | 2,000-8,000 | <1M (single node) | 65,536 |
| Weaviate | 12 | 65 | 3,000-10,000 | Billions (managed) | 65,535 |
| Elasticsearch | 15 | 75 | 5,000-15,000 | Billions (distributed) | 4,096 |
| pgvector | 18 | 90 | 1,000-5,000 | 10-50M (single node) | 16,000 |
| Supabase | 20 | 95 | 1,000-5,000 | 10-50M (plan-dependent) | 16,000 |
| MongoDB Atlas | 22 | 110 | 3,000-10,000 | Billions (Atlas) | 4,096 |

## Features

| Database | Hybrid Search | Multi-Tenancy | ACID | Index Types | Distance Metrics | SDK Languages |
|----------|---------------|---------------|------|-------------|------------------|---------------|
| ChromaDB | No | No | No | HNSW | cosine, L2, inner product | Python, TypeScript, REST |
| Elasticsearch | Yes | Yes | No | HNSW | cosine, dotProduct, L2 | Python, Node.js, Java, Go, Ruby, PHP, Rust, .NET, REST |
| Milvus | Yes | Yes | No | HNSW, IVF_FLAT, IVF_SQ8, IVF_PQ, SCANN, DiskANN, GPU_IVF_FLAT, GPU_IVF_PQ | cosine, L2, inner product | Python, Node.js, Go, Java, C#, REST, gRPC |
| MongoDB Atlas | Yes | Yes | No | HNSW | cosine, euclidean, dotProduct | Python, Node.js, Java, Go, C#, Ruby, PHP, Rust, Swift, Kotlin, REST |
| Pinecone | Yes | Yes | No | Proprietary | cosine, dotProduct, euclidean | Python, Node.js, Java, Go, REST |
| pgvector | Yes | Yes | Yes | HNSW, IVFFlat | cosine, L2, inner product | Python, Node.js, Ruby, Go, Java, C#, PHP, Any SQL client |
| Qdrant | Yes | Yes | No | HNSW | cosine, dot, euclidean, manhattan | Python, TypeScript, Rust, Go, Java, .NET, REST, gRPC |
| Redis | Yes | No | No | HNSW, FLAT | cosine, L2, inner product | Python, Node.js, Java, Go, C#, Ruby, REST |
| Supabase | Yes | Yes | Yes | HNSW, IVFFlat | cosine, L2, inner product | TypeScript, Python, Dart, Swift, Kotlin, C#, REST |
| Weaviate | Yes | Yes | No | HNSW, flat, dynamic | cosine, dot, L2-squared, hamming, manhattan | Python, TypeScript, Go, Java, REST, GraphQL |

## Pricing (Managed Starting Prices)

- Redis Cloud: $7/mo (free tier 30MB)
- Qdrant Cloud: $9/mo (free tier 1GB)
- Supabase Pro: $25/mo (free tier 500MB)
- Weaviate Cloud: $25/mo (free tier)
- MongoDB Atlas: $57/mo (free tier 512MB)
- Zilliz Cloud (Milvus): $65/mo (free tier)
- Pinecone: $70/mo (free tier 2GB)
- Elastic Cloud: $95/mo (free trial)

Self-hosted open-source options (ChromaDB, Elasticsearch, Milvus, pgvector, Qdrant, Redis, Supabase, Weaviate) are free.

## Methodology

Tested on 1M vectors (1536 dims, OpenAI ada-002), AWS r6g.xlarge for self-hosted, standard tiers for managed (US-East). Median of 3 runs. License: CC BY 4.0.

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