About
Weaviate Cloud offers a fully managed, scalable vector database designed for enterprises to power AI-driven search and recommendation systems. The platform supports seamless scaling and integration with major ML frameworks, enabling rapid deployment of intelligent applications at scale.
This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.
Enterprise Readiness
from cataloged dataNot scored. Nobody has checked this entry against Weaviate Cloud’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.
No compliance certifications listed
Flexible deployment: Cloud, Self-Hosted
8 documented integrations
6 documented use cases
Founded 2019 · Series A
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Independently sourced
Pulled directly from regulator filings and platform APIs. No vendor or editorial input.
Enterprise Use Cases
Integrations
How Weaviate Cloud compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| Weaviate Cloud | Not scored | Enterprise | Cloud, Self-Hosted | — | 8 |
| Milvus | Not scored | Open Source | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Zilliz | Not scored | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 7 |
| Elasticsearch Vector | 67 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is Weaviate Cloud used for?
Weaviate Cloud is scalable vector database as a service for enterprise-grade AI applications. It is commonly used for semantic search for enterprise knowledge bases, personalized product recommendations, fraud detection with vector embeddings, and customer support automation.
Is Weaviate Cloud free, and how is it priced?
Weaviate Cloud uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.
How can Weaviate Cloud be deployed?
Weaviate Cloud supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.
What does Weaviate Cloud integrate with?
Weaviate Cloud documents 8 integrations, including TensorFlow, PyTorch, LangChain, OpenAI, AWS, and GCP.
When was Weaviate Cloud founded?
Weaviate Cloud was founded in 2019 and has raised $27M in funding.
Is Weaviate Cloud enterprise-ready?
Based on cataloged data, Weaviate Cloud has an Enterprise Readiness score of 59/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
Quick Facts
Procurement
Evaluating vendors like this one?
The Enterprise AI RFI/RFP asks the security, governance, and lock-in questions sales decks skip.
See the template — RFI $299 / RFP $699 →Is this your product?
Claiming is free and lets you correct your listing's data. Upgrade to Enhanced ($199/yr) for a vendor-maintained mark, a richer profile, and lead routing.
Alternatives to Weaviate Cloud
View all →Comparable Data & MLOps tools, ranked by enterprise readiness.
Milvus
milvus.io
Open-source vector database for scalable, high-performance similarity search
Zilliz
zilliz.com
Enterprise-grade vector database platform for scalable AI and data infrastructure
Elasticsearch Vector
www.elastic.co/elasticsearch/vector-database
Elasticsearch is an open source vector database that provides vector, hybrid, sparse, and dense vector search capabilities.
Qdrant
qdrant.tech
Enterprise-grade vector search engine for scalable, secure AI-powered applications
Vectara
www.vectara.com/
Vectara is an enterprise agent platform for building AI agents across SaaS, VPC, and on-premise environments.
Zilliz Cloud
zilliz.com/cloud
Managed vector database platform for scalable, secure enterprise AI applications