Weaviate
7.1#4 in vector databases$45 usage-basedFree planWebAPILinuxSelf-hosted
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| Fact | Weaviate | Zilliz Cloud |
|---|---|---|
| Founded | 2019 | 2017 |
| Integrations | The integration ecosystem lists cloud and model integrations including AWS, Google Cloud, Azure, OpenAI, Anthropic, Cohere, Hugging Face, and Ollama. | Documented integrations include Prometheus, Datadog, AWS S3, Azure Blob Storage, Google Cloud Storage, and external model providers. |
| Product | Weaviate is an open-source AI vector database for storing, indexing, and searching high-dimensional vectors, used as a foundation for search, RAG, and agents. | Zilliz Cloud is a fully managed Milvus service for deploying and scaling vector search applications. |
| Search | The database supports hybrid search that combines vector and BM25 keyword search, along with semantic and keyword search. | The service supports approximate nearest neighbor vector search, filtered search, hybrid search, and full-text search. |
| Security | The security page states that Weaviate Cloud encrypts data in transit and at rest, supports role-based access controls, and provides automated daily backups. | Zilliz Cloud documents TLS 1.2 or higher in transit and AES-256 encryption at rest. |
| 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. | Users can contact Zilliz Support to request access to features in private preview. |
Weaviate is aimed at developers building search, RAG, or agent infrastructure. Its deployment options may suit teams ranging from startups to enterprises that want hosted or self-managed operation.
The Standard plan is described as suited to prototypes and testing. Enterprise is aimed at production applications, while Business Critical is described for healthcare, finance, and mission-critical systems.