Zilliz

Overview

Zilliz was founded in 2017 by Charles Xie and is the company behind Milvus, the most widely deployed open-source vector database. The company has offices in San Francisco and Shenzhen. Zilliz has raised $113M+ in funding at a $750M+ valuation. Zilliz Cloud is used by organizations including Salesforce, PayPal, Shopify, and thousands of AI startups. The platform provides the same distributed vector search capabilities as Milvus — billion-scale search, hybrid search, multi-vector queries, and 10+ index types — with managed infrastructure that handles provisioning, scaling, backups, and monitoring. Zilliz Cloud supports serverless (pay-per-query) and dedicated (reserved capacity) deployment modes. The service runs on AWS, GCP, and Azure with data residency options across multiple regions. Zilliz Cloud processes billions of vector queries daily across its customer base and provides 99.9% uptime SLA for enterprise customers.

Key Features and Architecture

Serverless Deployment

Pay-per-query pricing with automatic scaling and no infrastructure management. Zilliz provisions compute on demand, scales to handle traffic spikes, and scales to zero during idle periods. Ideal for applications with variable or unpredictable query patterns. The free tier includes 100M vector dimensions of storage, which is enough for approximately 65K vectors with 1536 dimensions.

Dedicated Clusters

Reserved compute capacity for predictable workloads with guaranteed performance. Dedicated clusters provide consistent latency and throughput for production applications. Choose from multiple instance sizes with configurable memory, CPU, and storage. Dedicated clusters support up to billions of vectors with consistent sub-10ms query latency.

All Milvus Capabilities

Full access to Milvus features: 10+ index types (HNSW, IVF_FLAT, IVF_PQ, DiskANN), hybrid search combining vector and scalar filtering, multi-vector queries, partition-based data organization, and dynamic schema. Zilliz Cloud maintains compatibility with the Milvus SDK — existing Milvus code works with Zilliz Cloud by changing the connection string. This API compatibility is the key migration path for self-managed Milvus users who want to offload infrastructure management. No code changes are required beyond updating the connection endpoint.

Enterprise Security

SOC 2 Type II compliance, encryption at rest and in transit, VPC peering, IP allowlisting, and role-based access control. Data residency options across AWS, GCP, and Azure regions for compliance requirements. Automatic backups and point-in-time recovery protect against data loss. Private endpoints and network isolation ensure data security for sensitive workloads.

Pipelines

Built-in data ingestion pipelines that handle embedding generation, chunking, and indexing. Connect data sources (S3, databases, APIs, and streaming platforms) and Zilliz handles the entire vector pipeline — no separate embedding infrastructure needed.

Ideal Use Cases

The tool is particularly well-suited for teams that need a reliable solution without extensive customization. Small teams (under 10 engineers) will appreciate the quick setup time, while larger organizations benefit from the governance and access control features. Teams evaluating this tool should run a 2-week proof-of-concept with their actual workflows to assess fit.

Production AI Applications

Organizations building production AI applications (RAG, recommendation, search) that need managed vector infrastructure with SLA guarantees. Zilliz Cloud eliminates the operational burden of running Milvus clusters while providing enterprise-grade reliability and security.

Milvus Users Wanting Managed Service

Teams currently running self-managed Milvus that want to offload infrastructure management. Zilliz Cloud is API-compatible with Milvus — migration requires only changing the connection string. This is the most straightforward migration path for existing Milvus users.

Variable Workload Applications

Applications with unpredictable query patterns — chatbots, search engines, recommendation systems with traffic spikes. Zilliz's serverless mode scales automatically and charges per query, avoiding over-provisioning costs.

Enterprise Vector Search

Organizations needing SOC 2 compliance, VPC peering, and enterprise support for vector search workloads. Zilliz Cloud provides the security and compliance features that open-source Milvus requires you to build yourself.

Pricing and Licensing

Zilliz uses usage-based pricing that scales with consumption. When evaluating total cost of ownership, consider not just the subscription fee but also infrastructure costs, implementation time, and ongoing maintenance. Most tools in this category range from $0 for free tiers to $50-$500/month for professional plans, with enterprise pricing starting at $1,000/month. Teams should request detailed pricing based on their specific usage patterns before committing.

For a typical RAG application with 1 million 1536-dimensional vectors and 100K queries/month, Zilliz serverless costs approximately $30-60/month. For comparison, Pinecone serverless costs approximately $40-80/month for similar usage, and self-managed Milvus on AWS costs approximately $200-400/month in infrastructure. Zilliz's free tier (100M vector dimensions) is generous — it handles approximately 65K vectors with 1536 dimensions, sufficient for prototyping and small applications.

Pros and Cons

When weighing these trade-offs, consider your team's technical maturity and the specific problems you need to solve. The strengths listed above compound over time as teams build deeper expertise with the tool, while the limitations may be less relevant depending on your use case and scale.

Pros

• Managed Milvus — all Milvus capabilities without infrastructure management; API-compatible migration
• Serverless option — pay-per-query pricing with automatic scaling; no over-provisioning
• $113M+ funded — well-capitalized company with strong enterprise customer base
• Multi-cloud — available on AWS, GCP, and Azure with data residency options
• Enterprise security — SOC 2 Type II, encryption, VPC peering, RBAC
• Free tier — 100M vector dimensions free; enough for prototyping and small applications

Cons

• Vendor lock-in risk — while API-compatible with Milvus, managed features create switching costs
• Pricing complexity — compute unit (CU) pricing can be hard to predict for variable workloads
• Newer service — less battle-tested than Pinecone's managed offering
• Milvus complexity — inherits Milvus's complexity (collections, partitions, index types) which can overwhelm simple use cases
• Limited regions — fewer deployment regions than Pinecone or major cloud providers

Alternatives and How It Compares

The competitive landscape in this category is active, with both open-source and commercial options available. When comparing alternatives, focus on integration depth with your existing stack, pricing at your expected scale, and the quality of documentation and community support. Each tool makes different trade-offs between ease of use, flexibility, and enterprise features.

Pinecone

Pinecone is the leading fully managed vector database. Pinecone for simplest developer experience and widest adoption; Zilliz for Milvus compatibility and more index type options. Pinecone is simpler; Zilliz is more flexible.

Milvus (Self-Managed)

Open-source Milvus provides the same capabilities without managed infrastructure. Self-managed Milvus for full control and zero licensing cost; Zilliz Cloud for managed operations with enterprise support.

Weaviate Cloud

Weaviate Cloud provides managed vector search with built-in vectorization. Weaviate for built-in embedding generation; Zilliz for Milvus compatibility and more index types.

Qdrant Cloud

Qdrant Cloud provides managed vector search with rich filtering. Qdrant for simpler API and better filtering; Zilliz for billion-scale distributed search and Milvus ecosystem.