Weaviate vs Zvec
Weaviate
weaviate.ioZvec
zvec.orgSide by side
| Figure | Weaviate | Zvec |
|---|---|---|
| Price from | $45/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Vector Databases | 8.0 (#10) | 7.5 (#20) |
| Integrations | The integration ecosystem lists cloud and model integrations including AWS, Google Cloud, Azure, OpenAI, Anthropic, Cohere, Hugging Face, and Ollama. | The product site names integrations with Logseq, MyContext, ReMe, txtai, and CocoIndex. |
| Support | Free includes Basic Support; Flex lists Standard Support with next-business-day Sev 1 response, while Premium lists enterprise support as fast as 1-hour Sev 1. | The documentation directs users to report issues on GitHub and lists community channels including DingTalk, WeChat, Discord, and X. |
Plans
In their own words
Weaviate
Weaviate is an open-source AI vector database for storing, indexing and searching high-dimensional vectors, used as a foundation for search, retrieval-augmented generation (RAG) and agents. Its hybrid search combines vector retrieval with BM25 keyword search, alongside semantic and keyword search. Other listed capabilities include advanced filtering, vectorizer modules, configurable backups, native multi-tenancy, vector-index compression and tenant isolation. It can run as a hosted service or as a self-managed instance locally or with a cloud provider, with Docker and Kubernetes deployment options. Its integrations include AWS, Google Cloud, Azure, OpenAI, Anthropic, Cohere, Hugging Face and Ollama. Weaviate Cloud encrypts data in transit and at rest, supports role-based access controls and provides automated daily backups. The Free plan includes up to 100,000 objects, one collection and three tenants, but no backups or high-availability replication. Flex costs $45 a month; Premium costs $400 a month. Windows use is possible through containers such as Docker or WSL, but native Windows support is not offered. SDKs are listed for Python, TypeScript/JavaScript, Go, Java and C#.
Zvec
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.