Benchmark Suggestion: Compare SharpCoreDB with BLite and Zvec

[YBazanPro]

Since the project is clearly positioning itself as a high‑performance embedded engine for .NET, I think it would be very interesting to also compare against two newer “neighbors” in the same space:

• BLite: .NET‑only, embedded, document/NoSQL oriented, heavily optimized (zero‑allocation BSON, CDC, etc.).
• Zvec: embedded vector database from Alibaba, focused on extremely fast in‑process vector search and indexing.

Why these two?

BLite is probably the closest thing to “LiteDB 2.0” in terms of ambition: embedded, .NET, but with a strong focus on performance and document‑style workloads. It would be great to see:

• CRUD / batch insert / query performance vs SharpCoreDB (relational + JSON/document scenarios).
• Memory usage and latency for typical app workloads (not only micro‑benchmarks).

Zvec is being pitched as the “SQLite of vector databases”, and SharpCoreDB now has serious HNSW + SIMD vector capabilities too. A comparison would be very valuable for people building RAG / local‑AI apps:

• Index build time on 1M / 10M vectors.
• Query latency & QPS for top‑k similarity search.
• Recall vs latency trade‑offs (HNSW parameters, quantization, etc.).

Thanks again for the amazing work on this project – it’s quickly becoming a very strong candidate for local AI + data‑heavy .NET apps.

[MPCoreDeveloper]

Interesting...... that would be nice indeed to add to the benchmark results and also to see where they are currently much stronger and sharpcoredb has some catching up to do .