Accelerate AI application development with a unified database engine that combines vector search and relational data to handle 100TB loads with microsecond latency.
Pinecone
Build fast, scalable AI agents and RAG applications with a fully managed vector database offering real-time indexing and enterprise governance.
Free plan available
$20/mo
About Pinecone
Pinecone is a fully managed cloud-native vector database designed to provide the core storage, indexing, and retrieval infrastructure required for production AI applications. By translating high-dimensional vector representations of text, images, and unstructured data into rapidly searchable indices, Pinecone allows generative AI models and agents to access up-to-date knowledge bases in real time. It offers single-query searches across dense, sparse, and full-text indexes without requiring developers to manage infrastructure tuning or underlying hardware. In practice, Pinecone processes data writes with acknowledgments in under 100 milliseconds, ensuring vectors are searchable within seconds. Its engine automatically selects and tunes indexing algorithms based on data size, continuously rebalancing in the background to maintain consistent p99 search latency. Users can interact with the system via developer APIs, CLI tools, MCP integrations, or agent plugins for platforms like Claude Code and Cursor. Beyond standard vector search, the platform includes Pinecone Inference, Pinecone Assistant, and Pinecone Nexus—a knowledge engine that compiles enterprise data to serve agent queries with lower token overhead. The platform is built for software engineers, data scientists, and enterprise engineering teams developing retrieval-augmented generation (RAG) pipelines, semantic search engines, and recommendation systems. It accommodates everyone from solo builders prototyping small applications to high-throughput enterprises requiring dedicated read nodes and isolated cloud deployments. Pinecone differentiates itself through its fully managed serverless architecture and enterprise-ready deployment options. Features like Bring Your Own Cloud (BYOC) allow organizations to run Pinecone inside their private cloud environments without requiring SSH, VPN, or inbound network connections. Along with strict enterprise governance—including SOC 2 Type II, HIPAA, ISO 27001 certifications, and Customer Managed Encryption Keys (CMEK)—Pinecone ensures scalable search performance without compromising data residency or compliance.
Pinecone pros & cons
Pros
- Delivers write acknowledgment in under 100ms with vectors searchable within seconds.
- Provides Bring Your Own Cloud (BYOC) deployment that requires zero inbound access, VPNs, or SSH.
- Offers a free Starter plan supporting dense, sparse, and full-text indexes for small applications.
- Holds major compliance certifications including SOC 2 Type II, ISO 27001, HIPAA, and GDPR.
- Scales query execution across parallel nodes without manual index algorithm tuning.
Cons
- Production Standard and Enterprise tiers require monthly minimum spends of $50 and $500 respectively.
- Starter tier support is restricted to community assistance via Discord.
Pinecone use cases
- AI application developers can integrate Pinecone with Claude Code or Cursor to build fast RAG pipelines for agentic workflows.
- E-commerce teams can deploy recommendation engines to match customer profiles with catalogs containing tens of thousands of products.
- Enterprise search engineers can ingest internal documentation to implement semantic search across dense and sparse indexes.
- Security-focused teams can run Pinecone within their private VPC using BYOC to comply with HIPAA and internal data residency rules.
Pinecone features
- integrations with aws, gcp, azure, and developer tools like claude code
- role-based access control (rbac), saml sso, and scim
- dedicated read nodes (drn) for isolated query throughput
- pinecone assistant and inference support
- pinecone nexus agentic knowledge engine
- sub-100ms write acknowledgments and rapid search indexing
- bring your own cloud (byoc) deployment
- dense, sparse, and full-text vector indexing
Pinecone pricing
Is Pinecone free? Yes, Pinecone has a free plan, and paid plans start at $20 / month.
Starter
Free
- Pinecone Database On-Demand
- Pinecone Inference
- Pinecone Assistant
- Dense, Sparse, and Full-Text Indexes
- Console Metrics
- Community Support via Discord
Builder
$20 / month
- Everything in Starter
- Increased usage limits
- Choose cloud and region
- Multiple projects and users
- Prometheus and Datadog monitoring
- Free support included
- Optional Developer or Pro support SLAs
Standard
$50 / month
- Everything in Builder
- Pay-as-you-go above $50/mo minimum usage
- Dedicated Read Nodes (DRN)
- Import from object storage
- Backup and Restore
- RBAC and SSO (SAML 2.0)
- HIPAA compliance add-on
- 3-week trial with $300 credits
Enterprise
$500 / month
- Everything in Standard
- $500/mo minimum usage
- 99.95% Uptime SLA
- Bring Your Own Cloud (BYOC)
- Private Endpoints
- Customer Managed Encryption Keys (CMEK)
- Audit Logs and Service Accounts
- SAML roles and SCIM
- HIPAA Compliance and Pro support included
Pinecone FAQs
What is Pinecone used for?
Pinecone is a managed vector database used to store, index, and query vector embeddings. It powers semantic search engines, recommendation systems, and retrieval-augmented generation (RAG) workflows for AI agents.
Can I deploy Pinecone inside my own cloud account?
Yes, Pinecone offers Bring Your Own Cloud (BYOC) for Enterprise plans. It runs within your cloud VPC using zero-access operations with no inbound access, SSH, or VPN required.
What index types does Pinecone support?
Pinecone supports dense, sparse, and full-text indexes, allowing developers to execute vector similarity and hybrid search operations through a single index.
Does Pinecone meet enterprise security and compliance standards?
Yes, Pinecone is SOC 2 Type II, ISO 27001, HIPAA, and GDPR compliant. It supports Customer Managed Encryption Keys (CMEK), private networking, role-based access control, and SSO.
Ratings & reviews
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