Comparison
Qdrant vs Pinecone
Overview
Qdrant is an open-source vector database and similarity-search engine written in Rust. It stores embeddings with rich payload filtering and is used for retrieval-augmented generation (RAG), semantic search and recommendation systems, with a managed cloud option.
Pinecone is a fully managed, serverless vector database purpose-built for production AI. It handles embedding storage, indexing and low-latency similarity search at scale so teams can build RAG and semantic search without managing infrastructure.
Features
- —Rust-based ANN search
- —Advanced payload filtering
- —Distributed and horizontally scalable
- —Quantization for memory efficiency
- —REST and gRPC APIs
- —Managed Qdrant Cloud with free tier
- —Fully managed serverless architecture
- —Low-latency similarity search
- —Metadata filtering
- —Namespaces and multitenancy
- —Automatic scaling
- —Hybrid dense + sparse search
Pricing
Qdrant
freemiumFree plan available
| Plan | Price | Notes |
|---|---|---|
| Open Source | Free | Self-hosted. |
| Cloud Free | Free | 1GB free managed cluster. |
| Cloud | Contact sales | Usage-based managed pricing. |
Pinecone
freemiumFree plan available
| Plan | Price | Notes |
|---|---|---|
| Starter | Free | Free tier for small projects. |
| Standard | Contact sales | Usage-based, from a monthly minimum. |
| Enterprise | Contact sales | Custom pricing and support. |
Company Fit
Qdrant
StartupSMBEnterprise
Pinecone
StartupSMBEnterprise