Production-ready alternative to Milvus
Pinecone is a production-ready, fully managed vector database that makes it easy to build high-performance vector search applications. Users love the developer experience and not having to set up and manage infrastructure.
Milvus
Milvus is an open-source vector search engine developed by Zilliz, based in China.
Users of Milvus like that it provides an open-source library for vector search. This is useful if you want to be part of an open-source community and potentially contribute back to the project.
A common complaint from users who tried Milvus is the difficulty in getting it to run, scale, and integrate with other systems reliably. Users who built production systems on Milvus 1.0 reported facing significant engineering challenges when Milvus 2.0 was released with breaking changes. For this reason, engineering teams should carefully evaluate the time and effort they are willing to spend on implementing and maintaining such a system.
Pinecone
Pinecone is a production-ready, fully managed vector database that makes it easy to build high-performance vector search applications. Users love the developer experience and not having to set up and manage infrastructure.
Pinecone does not host or run embeddings models. You need to run your embedding models and perform your transformations outside of Pinecone, and only then you can upload your embeddings into Pinecone.
Pinecone is cost-effective and provides great performance at scale. However, customers say developer experience is the biggest reason they chose Pinecone. The simple API, web console, and documentation make it easy and quick to deploy and manage the vector database.
What can you do with vector search?
Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval.

Search
Semantic search, Product search, Multi-modal search, Question-Answering
Generation
Chatbots, Text generation, Image generation
Security
Anomaly Detection, Fraud Detection, Bot/threat detection, Identity verification
Personalization
Recommendations, Feed ranking, Ad targeting, Candidate selection
Analytics & ML
Data labeling, Model training, Molecular search, Generative AI
Data Management
Pattern matching, Deduplication, Grouping, Tagging
Fast, fresh, and filtered vector search.
Fast
Ultra-low query latency, even with billions of items. Give users a great experience.
Fresh
Live index updates when you add, edit, or delete data. Your data is ready right away.
Filtered
Combine vector search with metadata filters for more relevant and faster results.
Trusted by thousands of engineering teams building AI applications
We wanted sub-second vector search across millions of alerts, an API interface that abstracts away the complexity, and we didn’t want to have to worry about database architecture or maintenance.

Peter Silberman
Chief Technology Officer, Expel





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