Tencent Cloud VectorDB vs Vearch
Tencent Cloud VectorDB
cloud.tencent.cnVearch
vearch.github.ioSide by side
| Figure | Tencent Cloud VectorDB | Vearch |
|---|---|---|
| Price from | $584/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Vector Databases | 7.9 (#12) | 7.8 (#16) |
| Hybrid search | Hybrid search combines dense and sparse vector retrieval and supports RRF and weighted result merging. | It supports vector search together with scalar filtering. |
| Product | Tencent Cloud VectorDB is a fully managed, self-developed distributed database for storing, indexing, retrieving, and managing multidimensional embedding vectors. | Vearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications. |
| SDKs | Tencent provides Python, Java, and Go SDKs, and its connection guide specifies minimum versions of Python 3.6, Java 8, and Go 1.15. | The README lists Python, Go, Java, and Rust SDKs. |
| Support | Tencent directs product questions to online customer service or support tickets and also points users to its developer community. | The project directs users to GitHub Issues, a public email discussion list, and Slack for community support. |
Plans
Tencent Cloud VectorDB
- 高可用版（存储型）$584 a month
- 高可用版（标准型）$872 a month
- 高可用版（计算型）$1,256 a month
In their own words
Tencent Cloud VectorDB
Tencent Cloud VectorDB has no write-up on Specifiction yet; its figures are above.
Vearch
Vearch is a free, open-source, cloud-native distributed vector database for similarity search in AI applications. It searches embedding vectors and can combine vector queries with scalar filtering for metadata conditions. The project describes replication and elastic scale-out and says it can retrieve vectors among millions of objects in milliseconds. Its Router exposes REST operations for upserting, deleting, searching, and querying data. Client SDKs are listed for Python, Go, Java, and Rust, with integrations for LangChain, LlamaIndex, LangChainGo, and LangChain4j. Deployment options include Kubernetes through Helm, Docker Compose in standalone or cluster mode, Docker, and compilation from source. PartitionServer uses Raft-based replication for document partitions, while Gamma is a Faiss-based vector search engine. Vearch is licensed under Apache License 2.0 and supports Linux and macOS self-hosted deployments. Community support is available through GitHub Issues, an email discussion group, and Slack. The VisualSearch demo requires an image retrieval plugin for object detection and feature extraction.