The vector database to build knowledgeable AI.
Grade: A — Score: 100/100
Pinecone is a fully managed vector database that enables developers to build and scale AI applications efficiently. It supports advanced retrieval capabilities, allowing for precise search across dynamic datasets, and offers features like real-time indexing and hybrid search.
The workflow is simplified with serverless scaling, enabling users to launch vector databases in seconds and automatically adjust resources based on demand. This flexibility is crucial for enterprises dealing with extensive documentation or smaller companies with fewer pages.
However, organizations must consider the risks associated with data management and compliance. Pinecone ensures security with encryption and compliance certifications, but users should evaluate their specific needs for data governance and operational control.
Starter: Free
Standard: $50/month minimum usage (pay-as-you-go above $50)
Enterprise: $500/month minimum usage (pay-as-you-go above $500)
Bring Your Own Cloud (BYOC): Contact sales
Consider switching to Weaviate: Weaviate offers similar vector database capabilities with an open-source model.
Pinecone differentiates as a fully managed, proprietary SaaS — you get an API key and start querying with zero infrastructure management, while Qdrant, Weaviate, and Milvus require self-hosting or separate managed cloud subscriptions. Pinecone's serverless architecture delivers p50 query latency of 16ms on dense indexes with 10 million records, which is competitive but not always the fastest — Qdrant's Rust-based engine can achieve single-digit millisecond latency in self-hosted benchmarks. Pinecone's advantage is operational simplicity at enterprise scale (SOC 2, ISO 27001, HIPAA, GDPR, 99.95% uptime SLA, CMEK, private endpoints), which open-source alternatives only partially match through their managed cloud tiers. For teams already running PostgreSQL, pgvector avoids adding a second data store entirely, though it degrades at 100M+ vectors where Pinecone scales smoothly.
The Starter plan is genuinely free with no credit card required. It includes 2 GB of storage, 2 million write units per month, and 1 million read units per month, limited to AWS us-east-1. According to Pinecone's own estimates, this supports a recommendation engine with ~50K products and ~44K recommendations per day, a semantic search over ~30K documents with ~15K searches per day, or a RAG forum bot handling ~130K category-scoped chats per day. The Starter plan also includes Pinecone Inference (5M embedding tokens/month, 500 reranking requests/month) and Pinecone Assistant (100 documents, 1 GB storage, 1.5M input tokens). Limitations include a maximum of 5 indexes, 100 namespaces per index, 1 project, and 2 users — with community Discord support only.
Pinecone holds SOC 2 Type II, ISO 27001, GDPR, and HIPAA certifications. Enterprise plan features ($500/month minimum) include private endpoints via AWS PrivateLink, GCP Private Service Connect, or Azure Private Link; customer-managed encryption keys (CMEK); audit logs; service accounts; Admin APIs; and a contractual 99.95% uptime SLA. All data is encrypted at rest using AES-256 and in transit using TLS 1.2. SAML SSO and role-based access control (RBAC) for both users and API keys are available on Standard and Enterprise plans. HIPAA compliance is included on Enterprise or available as a $190/month add-on on Standard. For maximum data sovereignty, BYOC deploys Pinecone inside your own AWS, GCP, or Azure VPC with a zero-access operating model.
Dedicated Read Nodes (DRN) provide exclusive, provisioned infrastructure reserved for your index's queries — eliminating noisy-neighbor effects, shared queues, and read rate limits that exist on serverless on-demand indexes. DRN is designed for billion-vector workloads and high queries-per-second scenarios where predictable speed and cost matter more than pay-per-query flexibility. DRN is available on Standard ($50/month minimum) and Enterprise plans, with pricing based on provisioned node capacity rather than per-read-unit billing. Use DRN when your application has consistent, high-throughput query patterns such as real-time recommendation engines or production search infrastructure.
Pinecone Assistant is a higher-level service for building production-grade chat and agent-based RAG applications without assembling a full retrieval pipeline yourself. You upload documents (up to 10,000 per assistant on paid plans), and Assistant handles chunking, embedding, indexing, retrieval, and LLM response generation. It is billed separately from the core database: $0.05 per assistant per hour, $8 per million input tokens, $15 per million output tokens, and $3/GB/month for storage on Standard and Enterprise plans. The core vector database, by contrast, gives you full control over embeddings, indexing, and query logic — you bring your own embedding model (or use Pinecone Inference) and manage the retrieval pipeline directly.
Pinecone Inference hosts three embedding models — llama-text-embed-v2 ($0.16/M tokens on paid plans), multilingual-e5-large ($0.08/M tokens), and pinecone-sparse-english-v0 ($0.08/M tokens) for sparse/keyword search — plus three reranking models: pinecone-rerank-v0, bge-reranker-v2-m3, and cohere-rerank-v3.5, all at $2 per 1,000 requests. The Starter plan includes 5M embedding tokens and 500 reranking requests per month. Developers can also bring their own vectors from any external embedding provider (OpenAI, Cohere, Hugging Face, etc.) and store them directly in Pinecone without using the Inference service.
Pinecone BYOC (in public preview) runs the entire Pinecone stack inside your own AWS, GCP, or Azure account and VPC. The key differentiator is a zero-access operating model: Pinecone requires no SSH, VPN, or inbound network access to operate the system. All operations are outbound-only with an auditable trail. You can use public endpoints or private-only connectivity via AWS PrivateLink, GCP Private Service Connect, or Azure Private Link. BYOC is designed for organizations with strict data sovereignty requirements in regulated industries like healthcare and finance. Pricing is custom and requires contacting Pinecone's sales team; Pro support is included.
No. Pinecone's security FAQ explicitly states that customer data remains isolated and is only used for servicing API calls. The privacy policy confirms Pinecone processes personal data on behalf of enterprise customers only as instructed and in accordance with a data processing agreement. Customer data is not used to train, develop, or improve Pinecone's models or services. Data deletion is supported — customers can delete vectors and indexes at any time, and deletion protection prevents accidental removal. Pinecone is SOC 2 Type II, ISO 27001, GDPR, and HIPAA certified.