Wiz vs Weaviate
Side-by-side comparison to help you choose the best tool.
Wiz
paidCloud security platform that uses AI to scan cloud environments for vulnerabilities, misconfigurations, and attack paths without agents, used by 40% of Fortune 100 companies. Wiz Security Graph correlates cloud configuration, vulnerabilities, secrets, and network paths to identify the most toxic risk combinations. AI features including Wiz Copilot provide natural language cloud security investigation and policy creation.
Weaviate
freemiumWeaviate is an open-source vector database that combines vector search with structured filtering, making it ideal for building production AI applications. It natively supports text, image, and multimodal embeddings, integrates directly with popular embedding models from OpenAI, Cohere, and Hugging Face, and offers both cloud-managed and self-hosted deployment options - giving teams maximum flexibility for RAG and semantic search systems.
| Feature | Wiz | Weaviate |
|---|---|---|
| Pricing | paid | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.9 | 4.5 |
| Best For | Cloud-first enterprises needing rapid agentless cloud security posture management | AI engineers who want an open-source vector database with multimodal support and the flexibility to self-host or use managed cloud |
| Views | 5 | 4 |
Pros
- Agentless deployment provides immediate full visibility
- Security Graph reveals complex multi-step attack paths
- Rapid deployment with minimal operational overhead
Cons
- Premium pricing reflects its enterprise-focused positioning
- Limited runtime threat detection compared to agent-based solutions
Pros
- Open-source with self-hosting option
- Native support for multimodal data
- Strong hybrid search capabilities
Cons
- More setup required than fully managed alternatives
- Documentation can be complex for beginners
- Agentless cloud environment scanning
- Security Graph attack path analysis
- Wiz Copilot AI assistant
- Multi-cloud support (AWS, Azure, GCP, OCI)
- Secrets and data security posture management
- Open-source vector database
- Native multimodal embedding support
- Hybrid search (vector + keyword)
- Built-in embedding model integrations
- Self-hosted or managed cloud