Weaviate Enterprise Cloud
Weaviate Enterprise Cloud is the deployment model where Weaviate provides you with a dedicated instance (customer isolation) in their cloud environment. It is designed for production workloads where predictability, high performance, and enterprise-grade SLA are important. You get the full power of Weaviate with dedicated hardware and enterprise support.
Key Features
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Dedicated resources and isolation rather than multi-tenant shared infrastructure
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Managed by Weaviate but tuned for enterprise scale with performance, storage tiering (HOT/WARM/COLD)
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Pricing based on AI Units (AIUs), which represent usage tiers and resources
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Support for high availability architectures and enterprise SLAs
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Integration with enterprise workflows, compliance (SOC2, HIPAA via AWS)
Use Cases
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Large production deployments with billions of vectors and high query volume
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Enterprise knowledge graphs, RAG backends for LLMs at scale, enterprise search across big data
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Use cases requiring guaranteed performance, SLA, data isolation, and compliance
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Multi-region or highly available setups for mission-critical workloads
Pricing & Plans
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Pricing starts from US $2.64 per AI Unit (AIU).
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Pricing includes components such as vCPU, storage tier by usage (HOT/WARM/COLD) for large workloads.
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Pricing is custom, and you need to contact sales fora full quote.
Integrations & Compatibility
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Same Weaviate core features (vector & object storage, hybrid search) but tuned for enterprise context
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Works with embedding modules, custom vectors, and integrates into enterprise data infrastructure
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Managed by Weaviate, but you may coordinate with your cloud provider for compliance and region setup
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Supports annual contracts and multi-AZ high availability setups.
Pros & Cons
| Pros | Cons |
|---|---|
| Dedicated resources and stronger performance guarantees for enterprise workloads | Higher cost and longer procurement process compared with the serverless option |
| Better suited for large-scale, compliance, and enterprise-grade use cases | Possibly overkill for smaller applications or early-stage projects |
| Multi-tiered storage options (HOT/WARM/COLD) allow cost optimisation for large data volumes | Requires more advanced planning and may involve committed spending |
| Managed service reduces operational overhead compared with self-hosting | Less “instant” than serverless; you still need to align with enterprise delivery |
Final Verdict
Weaviate Enterprise Cloud is designed for organisations that have moved beyond rapid prototyping and need a production-ready, high-performance vector database with enterprise-grade features, isolation, and SLAs. If you’re building mission-critical AI systems, recommendation engines, or knowledge platforms at scale, this offering is a strong choice. For smaller use cases, you may prefer the serverless version until scale demands increase.