Pinecone

Pinecone is a fully managed vector database purpose-built for AI applications, letting developers search through billions of items for similar matches in milliseconds via a simple API call. Writes are acknowledged in under 100ms and searchable within seconds, indexing happens automatically with algorithms selected and upgraded based on data size, and query performance stays consistent as datasets scale into the billions of vectors. The platform supports dense, sparse, and full-text index types, letting teams combine semantic similarity search with traditional keyword matching in a single system, and offers Pinecone Inference and Pinecone Assistant as built-in options for embedding, reranking, and RAG application development without standing up separate model infrastructure.

Pinecone's newest product, Nexus, reframes how AI agents access enterprise knowledge: rather than agents repeatedly fetching, reasoning, and re-fetching context on every call, Nexus compiles enterprise data into governed knowledge once and serves it through a single query, reportedly cutting token usage by 90%, running 30 times faster than agentic RAG, and scoring 20% more accurately than hybrid search on Sierra's public τ-Knowledge benchmark. The platform integrates natively into modern AI coding workflows, with a Claude Code plugin, plus support for Cursor, GitHub Copilot, Codex, Gemini CLI, and MCP, making it straightforward to wire retrieval directly into an existing agent or IDE workflow.

Enterprise customers get Bring Your Own Cloud (BYOC) deployment, running Pinecone entirely inside their own cloud account and VPC with zero-access operations, meaning Pinecone never requires SSH, VPN, or inbound network access to operate the system, alongside SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certifications, SSO, RBAC, audit logs, and Customer Managed Encryption Keys. Pinecone reports serving roughly 4,000 customers and reached an estimated $26.6 million in annual recurring revenue in 2025.

Founded in 2019 by Edo Liberty (a former Amazon AI research director) and based in San Francisco, Pinecone has raised a total of $138 million, including a $100 million Series B led by Andreessen Horowitz in 2023 with participation from ICONIQ Growth, Menlo Ventures, and Wing Venture Capital, reaching a $750 million valuation. Pinecone was among the earliest dedicated vector database companies to gain mainstream adoption during the generative AI and RAG boom, and now competes with both AI-native challengers like Weaviate and Qdrant and general-purpose database incumbents like MongoDB and Elastic that have added vector search capabilities.

Pinecone offers four tiers. Starter is free, for trying out and small applications, including Database On-Demand, Inference, and Assistant access, up to 2GB storage, 2M write units/month, and 1M read units/month, limited to AWS us-east-1. Builder is $20/month flat for solo developers and small teams, adding increased usage limits, choice of cloud and region, multiple projects and users, and Prometheus/Datadog monitoring. Standard has a $50/month usage minimum (pay-as-you-go beyond that, with a 3-week trial including $300 in credits), adding Dedicated Read Nodes, import from object storage, backup and restore, RBAC, and SSO (SAML 2.0), positioned for production applications at any scale. Enterprise has a $500/month usage minimum, adding a 99.95% uptime SLA, Bring Your Own Cloud (BYOC), private endpoints, Customer Managed Encryption Keys, audit logs, service accounts, SAML roles, SCIM, and HIPAA compliance, with Pro support included. Committed Use Contracts offer larger discounts for higher-volume customers. Pinecone is also available on AWS Marketplace, Google Cloud Marketplace, and Microsoft Marketplace.