Cloudflare Vectorize vs Pinecone

Cloudflare Vectorize is a globally distributed vector database for AI applications built with Cloudflare Workers. It supports semantic search, recommendations, classification, anomaly detection, and supplying context to large language models. Vectors can come from Workers AI models or services such as OpenAI. Workers connect to indexes through a Vectorize binding configured in Wrangler or the Cloudflare dashboard, while a REST API can insert and query vectors. Search results can reference images in R2, documents in KV, and user profiles in D1. Metadata filters support indexed string, number, and boolean properties, with up to 10 metadata indexes per index. Each index can hold up to 20 million vectors, with a maximum of 1,536 dimensions at 32-bit precision. Queries return up to 50 results with values or metadata, or 100 without them. Cloudflare lists a free plan and paid usage from $5/mo. The Workers Free plan includes stated monthly queried and stored dimension allowances. Cloud deployment is available through API and web access.

Pinecone is a fully managed vector database for AI workloads, available through web and API access. Its stated uses include semantic search, recommendations and retrieval-augmented generation. It supports dense, sparse and full-text indexes, metadata filters and namespaces; the maker says automatic indexing makes new writes searchable within seconds. Listed integrations include LangChain, LlamaIndex, OpenAI, Cohere, Databricks, Snowflake and Airbyte. The free Starter plan has limits including one project, two users, five indexes and 100 namespaces per index. Builder costs $20 a month. Standard is $50 a month minimum applied to usage, with usage above that minimum charged pay-as-you-go; Enterprise is $500 a month minimum on the same basis. Pinecone says it encrypts data at rest and in transit and supports API-key roles and RBAC. It lists SOC 2 Type II certification, HIPAA compliance with a BAA available on request, GDPR readiness and a 99.95% uptime SLA. Its TypeScript SDK is intended for server-side use because browser use can expose API keys.