Zinn® Vector Databases
Zinn® Vector Databases: A focused managed PostgreSQL option for vector search, with tiered NVMe storage and tenant controls. Ranked #20 of 42 in Vector Database Hosting by our editors (7.4/10); pricing: Paid; best for managed PostgreSQL vector search.
At a glance
- Editor score7.4 / 10
- PricingPaid
- Best forManaged PostgreSQL vector search
- Free planNo
- Paid from$12.99/mo
- Included storage10 GB
- Facts checked22 Sep 2026
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
Our verdict on Zinn® Vector Databases
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.
Your product? Our editors can test Zinn® Vector Databases in depth and publish a review, labelled as paid · from $149/mo →
Zinn® Vector Databases pricing
All 3 Zinn® Vector Databases plans and prices →
Zinn® Vector Databases fact sheet
| Free plan | No |
|---|---|
| Paid from | $12.99/mo |
| Included storage | 10 GB |
| Hybrid search | Not verified |
| Metadata filtering | Yes |
| Serverless scaling | Not verified |
| Deployment regions | Multi-region |
| Maximum dimensions | 3072 dimensions |
| Money-back guarantee | 30 days |
| Deployment | Cloud |
| Platforms | Web |
| Support | Email, Tickets, Docs · 24/7 |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Paid (source) |
| Website | zinndigital.com |
| Facts checked | 22 Sep 2026 |
Alternatives to Zinn® Vector Databases
- ChromaA flexible vector database for hybrid retrieval, multimodal search, and self-hosted AI applications.9.4
- QdrantA flexible vector database for semantic, hybrid, and filtered search at scale.9.3
- WeaviateA flexible vector database for production hybrid search across cloud and self-managed deployments.9.1
See all Zinn® Vector Databases alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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