Zilliz
Managed cloud vector database built on Milvus. Enterprise-grade similarity search at scale.
Zilliz Cloud is a fully managed vector database service built on Milvus, the open-source vector database developed by Zilliz. It is designed to handle billion-scale vector similarity search with high performance and reliability, making it a strong choice for teams building AI-powered applications that require production-grade infrastructure without the operational overhead of self-hosting.
At its core, Zilliz Cloud abstracts away the complexity of running Milvus clusters — provisioning, scaling, monitoring, and upgrades are all handled by the platform. Users interact with familiar Milvus APIs and SDKs, so teams already using open-source Milvus can migrate without rewriting application logic. This managed path is a key differentiator from running Milvus on Kubernetes yourself, where infrastructure management becomes a significant burden at scale.
The platform is purpose-built for AI workloads that depend on dense vector embeddings: retrieval-augmented generation (RAG), semantic search, recommendation systems, image and video similarity, and multimodal search. It stores high-dimensional vectors alongside scalar metadata, enabling hybrid filtering that combines vector similarity with structured attribute conditions — a critical capability for production RAG pipelines where results need to be filtered by date, category, user, or other attributes.
Zilliz Cloud targets enterprise users who need predictable performance at scale. Customers include DoorDash, Walmart, NVIDIA, Salesforce, Cisco, IBM, and Roblox, signaling that the platform is proven in high-traffic, data-intensive environments. In 2024, Zilliz was named a leader in the Forrester Wave for Vector Database Providers, Q3 2024, which positions it favorably against competitors like Pinecone, Weaviate, and Qdrant Cloud.
Compared to Pinecone, Zilliz Cloud offers the advantage of being based on open-source Milvus — teams are not locked into a proprietary query language or data model and can run the same system on-premises or in their own cloud via the BYOC (Bring Your Own Cloud) option. Compared to self-hosted Milvus, Zilliz Cloud reduces infrastructure work significantly while preserving API compatibility.
The platform supports multiple deployment models: a serverless tier for lower-traffic workloads, dedicated clusters for performance-sensitive applications, and BYOC for organizations with data residency or compliance requirements. A free tier is available with no credit card required, lowering the barrier to evaluation.
Integrations span major AI and ML frameworks, embedding providers, and orchestration tools, making Zilliz Cloud straightforward to plug into existing LangChain, LlamaIndex, or custom RAG pipelines. Milvus 2.6.x is now generally available on the platform, bringing the latest upstream capabilities to managed deployments.
Key Features
- Fully managed Milvus service with automatic provisioning, scaling, and upgrades
- Billion-scale vector similarity search with low-latency query performance
- Hybrid search combining dense vector similarity with scalar metadata filtering
- Multiple deployment options: serverless, dedicated clusters, and Bring Your Own Cloud (BYOC)
- API and SDK compatibility with open-source Milvus for easy migration
- Free tier available with no credit card required
- Broad integrations with AI frameworks including LangChain, LlamaIndex, and embedding providers
- SOC 2 and enterprise-grade security with a Trust Center
Pros & Cons
Pros
- Based on open-source Milvus, avoiding proprietary lock-in and enabling BYOC deployments
- Proven at enterprise scale with customers like Walmart, NVIDIA, Reddit, and Salesforce
- Free tier with no credit card requirement makes evaluation accessible
- API-compatible with self-hosted Milvus, making migration straightforward
- Named a leader in the Forrester Wave for Vector Database Providers (Q3 2024)
Cons
- Pricing complexity — multiple billing dimensions (storage, compute, CU hours) can make cost estimation harder than flat-rate competitors
- Teams not already using Milvus face a learning curve compared to simpler managed alternatives
- BYOC and Business Critical plans are enterprise-tier offerings, potentially out of reach for early-stage teams
- Fewer out-of-the-box multi-tenancy abstractions compared to some purpose-built SaaS vector databases
Pricing
Zilliz Cloud offers a free tier with no credit card required. Paid plans include serverless and dedicated cluster options with flexible pricing based on compute units, storage, and usage. A pricing calculator and detailed list prices are available on the official pricing page, along with a Business Critical plan for enterprise requirements.
Who Is This For?
Zilliz Cloud is best suited for engineering teams building production AI applications that require reliable, high-throughput vector search at scale — particularly RAG systems, semantic search, and recommendation engines. It is an especially strong fit for organizations already using open-source Milvus who want to reduce infrastructure overhead, or for enterprises with compliance needs that benefit from BYOC deployment options.
Tags:
Similar to Zilliz