Omendb
Fast embedded vector database with HNSW + ACORN-1 filtered search
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is Omendb?
Omendb is a fast, embedded vector database that uses HNSW and ACORN-1 for efficient filtered searches. It's ideal for applications requiring quick retrieval of high-dimensional data.
Key differentiator
“Omendb stands out as an efficient and fast embedded vector database, offering a lightweight solution for high-dimensional data retrieval with HNSW and ACORN-1.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Developers building real-time recommendation engines who need fast, efficient vector searches
Data scientists working with high-dimensional data requiring quick retrieval times
Teams needing a lightweight, embedded solution for vector database needs
✕ Not a fit for
Applications that require cloud-hosted solutions due to its local hosting model
Projects where the use of JavaScript is not feasible or preferred
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Omendb
Step-by-step setup guide with code examples and common gotchas.