Pinecone vs ZeusDB Vector Database

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.

ZeusDB Vector Database is a vector database for AI workloads including semantic search, retrieval-augmented generation, and recommendations. Its free, self-hosted Open Source plan provides a Python API and approximate nearest-neighbor search with HNSW graphs. Optional Product Quantization compresses vectors for memory efficiency. Metadata filtering is supported, and indexes, metadata, and quantized vectors can be saved and reloaded. Hybrid search is listed. Published wheels support Linux x86_64 and aarch64, macOS Apple Silicon, and Windows x86_64; the package page lists Python 3.10 through 3.14. LangChain and LlamaIndex integrations are available with vector-store filtering and persistence features. Hugging Face, Anthropic, OpenAI, and Semantic Kernel integrations are in development. ZeusDB lists an Enterprise plan with managed deployment, SSO, RBAC, audit trails, encryption, automated backups and restore, observability, SLAs, and priority support. The managed enterprise edition is in development. The company says it was founded and launched its first site in 2012.