Scalable alternative to Elasticsearch
Pinecone is a fully managed vector database that makes it easy and cost-efficient to build vector search applications. Users love the developer experience, high performance, and low cost.
Elasticsearch (managed by Elastic)
Elasticsearch is an open-source search solution with a managed service provided by Elastic.
Users of Elasticsearch like that it comes from a company they know, whose products they might already be using.
Users who tried Elasticsearch for vector search have reported a steep tradeoff between cost and search latency, especially for datasets above 10M vector embeddings. Achieving low latency with an index of that size (or larger) could be prohibitively expensive for some.
Pinecone
Pinecone is a fully managed vector database that makes it easy to build high-performance vector search applications. Users love the ability to start within minutes, scale up to over billions of vectors, and sit back while Pinecone handles all the operational complexity to keep latencies low and availability high. And with low, usage-based pricing, engineers don’t have to compromise on performance.
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
Talk to our experts about Pinecone vs. Elastic Search
Send us your questions about choosing between Pinecone and Elastic. We’ll schedule a time to learn and share more with you.