Features
Native vector search for AI applications
Full-text search with relevance ranking
Hybrid search combining vector and lexical search
Native reranking for improved retrieval accuracy
Multi-cloud database deployment (AWS, Azure, Google Cloud)
Stream processing for real-time data pipelines
Data federation across multiple sources
Built-in charts and visualization
Document model with flexible schema
Horizontal scaling and load balancing
Enterprise-grade security and compliance
Atlas SQL Interface for SQL-based querying
Online Archive for cost-effective data tiering
Relational Migrator for database migrations
Search and vector search available on-prem (Enterprise Advanced, Community Edition)
Fully managed vector database
Automatic index tuning and upgrades
Writes acknowledged in under 100ms
Consistent p99 latency at any scale
Metadata filtering during queries
Namespace-per-agent isolation
Dense, sparse, and full-text indexes
Hybrid search (vector + BM25) via Pinecone Nexus public preview
Integrated embedding and reranking (Cohere Rerank 4.0 Fast GA)
Customer Managed Encryption Keys (CMEK)
Open-source monitoring stack (June 2026)
Multi-region and multi-cloud support (AWS, GCP, Azure) on Builder+