Zinn® Vector Databases review
A focused managed PostgreSQL option for vector search, with tiered NVMe storage and tenant controls.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Zinn® Vector Databases is a managed PostgreSQL service built around pgvector for embeddings and semantic search. It is aimed at developers and teams that want hosted vector search through an HTTPS API instead of operating their own database infrastructure. The service supports HNSW approximate nearest-neighbor indexing, metadata storage with query-time filtering, and vector dimensions from 1 to 3072. Access is provided through scoped API keys over HTTPS, with PostgreSQL row-level security available for tenant isolation.
Pricing is structured across three paid monthly plans. Zinn® Vector Start costs $12.99 per month and includes 10 GB of NVMe storage. Zinn® Vector Growth costs $19.99 per month and includes 50 GB, while Zinn® Vector Scale costs $55.99 per month and includes 250 GB. The published plans show storage as the main tier distinction. All plans include the product’s database capabilities, including daily backups with 30-day retention and point-in-time restoration. This makes the entry plan suitable for smaller vector workloads, while the higher tiers provide more storage without changing the underlying PostgreSQL-centered approach.
The strongest fit is for teams that already prefer PostgreSQL concepts and need vector similarity search alongside filterable metadata. Support for cosine, Euclidean and inner-product distance functions gives projects several search-distance options, while HNSW indexing addresses approximate nearest-neighbor retrieval. The product is less suitable for teams looking for a broader, less PostgreSQL-focused vector platform or requirements outside this database model. Choose Zinn when managed pgvector, API access, backups and tenant isolation are central requirements; evaluate alternatives when a wider platform scope matters more than PostgreSQL compatibility.
Zinn® Vector Databases pros and cons
- Where it wins
- Managed PostgreSQL with pgvector and HNSW indexing
- Supports cosine, Euclidean and inner-product distance functions
- Backups, point-in-time restoration and row-level tenant isolation
- Where it doesn't
- No free plan is available
- Storage is capped by the selected plan
- Focused on PostgreSQL vector search rather than a broader platform
Zinn® Vector Databases fact sheet, pricing and score →
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