Elasticsearch vs Zvec

Elasticsearch has no write-up on Specifiction yet; its figures are above.

Zvec is an open-source, in-process vector database for indexing and querying vectors locally without a server or external infrastructure. It supports dense and sparse vectors, full-text search, and hybrid retrieval with structured filters. Listed index types include Flat, HNSW, IVF, and DiskANN, with RaBitQ variants also available; quantization options include FP16, INT8, INT4, RaBitQ, and PQ. Write-ahead logging provides persistence across process crashes or power failures. Multiple processes can read a collection at once, while writes are exclusive to one process. SDKs are listed for Python, Node.js, Go, Rust, Dart/Flutter, C, and C++. The README lists Linux, macOS, and Windows support, and prebuilt SDK binaries are published for Android and iOS as well. Named integrations include Logseq, MyContext, ReMe, txtai, and CocoIndex. The maker presents Zvec for application developers working on prototyping, local development, embedded and edge applications, or production systems. Its product family also includes Zvec-Grep, a local search CLI and MCP tool for code, documentation, and text-based data. It is available free under the Apache License 2.0.