# Zilliz

Banco de dados vetorial e plataforma Vector Lakebase totalmente gerenciados para cargas de trabalho de IA empresarial, com busca em tempo real, recuperação híbrida, SaaS e BYOC.

- Findings24: <https://findings24.com/pt/tools/zilliz>
- Site: <https://zilliz.com>
- Preços: Freemium
- Categorias: Motor de Busca IA, Ferramentas Dev IA, Analista de dados com IA

## O que é Zilliz?

Zilliz is a fully managed vector database and Vector Lakebase platform powered by Milvus. It is designed for enterprise AI workloads that need real-time serving, iterative discovery, and batch analytics across large vector datasets.

The product combines vector search with broader data operations, including hybrid retrieval, full-text search, filtering, reranking, and lake-native storage. The site positions it as a single source of truth for AI data at hundred-billion scale, with deployment options that include SaaS, BYOC, and an open-source Milvus path.

## O que Zilliz pode fazer?

### Real-time vector serving

Serve low-latency vector search for production workloads, with tiered options that trade off performance and cost across different dataset sizes and traffic levels.

### Lake-native storage

Store and query data for both serving and analytics on a unified lake-native layer, with the product positioned as a Vector Lakebase built on Vortex.

### Full-spectrum search

Use hybrid retrieval across vector, text, JSON, and geospatial data, with filtering and reranking for more expressive queries.

### Tiered architecture

Choose between performance-optimized, capacity-optimized, and tiered-storage cluster types to match latency, throughput, and cost requirements.

### On-demand compute and indexing

Run on-demand query and indexing jobs on zero-copy external data, so search workloads can operate without always-on compute.

### BYOC deployment

Keep data in your own cloud environment with BYOC, where Zilliz manages the control plane while customer data stays in the customer VPC.

## Casos de uso

### Production semantic search

Build low-latency AI applications that need vector retrieval at production scale, with configuration choices based on traffic, latency, and dataset size.

### Large-scale cost-sensitive retrieval

Run search over huge datasets where cost matters as much as performance, using tiered storage, on-demand compute, or BYOC to match infrastructure constraints.

### Hybrid retrieval workflows

Support AI systems that mix vector search with text, JSON, geospatial, and reranked results, rather than treating embeddings as the only query type.

### Private cloud deployments

Keep sensitive data inside a customer-controlled environment while still using a managed service, which fits teams with compliance or sovereignty requirements.

### Online schema evolution

Operate continuously changing AI datasets by backfilling and iterating on schema and data models without interrupting serving.

## Perguntas frequentes

### What is Zilliz Cloud?

Zilliz Cloud is a fully managed vector database and Vector Lakebase platform powered by Milvus. The source positioning emphasizes real-time serving, iterative discovery, batch analytics, and AI data operations on a single source of truth.

### What deployment options are available?

The source material shows deployment options for SaaS on Zilliz Cloud, BYOC in the customer’s own cloud environment, and an open-source Milvus option. The pricing page also lists dedicated, serverless, and BYOC plans.

### Does Zilliz offer a free tier or trial?

Pricing is shown for Free, Standard, Enterprise, Business Critical, On-demand Compute, and BYOC. The pricing page includes a free starting point, a 30-day free trial for some paid plans, and a contact-sales flow for higher-touch options.

### Does Zilliz support combining vector and text search?

Yes. The source states that Zilliz supports hybrid retrieval and full-spectrum search, including vector search, text, JSON, and geospatial data, plus full-text search and reranking.

## Informações rápidas

- **Category**: Vector database / Vector Lakebase
- **Primary platform**: Zilliz Cloud powered by Milvus
- **Deployment options**: SaaS, BYOC, and open-source Milvus
- **Clouds mentioned**: AWS, Google Cloud, Azure
- **APIs and SDKs**: RESTful APIs and Python, Java, Go, Node.js SDKs
- **Source domain**: zilliz.com