# Zilliz

According to OpenAITools.app telemetry verified on 2026-11-11, Zilliz (zilliz.com) is an AI platform indexed under AI Developer Tools generating 108.89K monthly visits with a month-over-month traffic delta of -21.29K (-16.4%). Its primary geographic market is United States (14.7% traffic share), and it operates on a Freemium, Paid, Free, Contact for Pricing pricing model. Top competing alternatives by monthly volume include Pinecone (286.73K visits/mo), MyScale (19.35K visits/mo), Qdrant (72.99K visits/mo).

Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Zilliz |
| Handle | zilliz |
| Status | active |
| Origin | official |
| Maintenance | active |
| Official Domain | zilliz.com |
| Website URL | https://zilliz.com |
| Categories | AI Developer Tools, AI Search Engine, AI Knowledge Base, Large Language Models (LLMs), AI For Data Analytics |
| Pricing Model | Freemium, Paid, Free, Contact for Pricing |
| Monthly Visits | 108,886 |
| MoM Traffic Change | -21,287 |
| MoM Growth Rate | -16.4% |
| Primary Market | United States |
| Market Share | 14.7% |
| Direct Visits | 36,843 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 24,860 |
| Email Visits | — |
| Review Score | 4.7 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Freemium; Pricing: Paid; Pricing: Contact for Pricing; Pricing: Free |
| Tags | Vector Database, AI, Machine Learning, Milvus, RAG, Large Language Models, Similarity Search, Cloud Database, Managed Service, Open Source, Data Management, Scalability, High Performance, Enterprise AI, Cloud Computing |

## Overview

Zilliz Cloud is a managed Milvus platform designed for production AI retrieval at scale. The core value proposition is that teams get the performance of a purpose-built vector database without operating the cluster themselves — provisioning, scaling, backups, and upgrades are handled by the service. Zilliz states the platform is production-tested across more than 10,000 enterprises over eight years and engineered to handle 100B+ entities and 10K+ QPS with consistent latency.

The platform has expanded beyond pure vector search into a broader "Vector Lakebase" concept, unifying real-time serving, on-demand discovery, and batch analytics over lake-native storage. Highlights include tiered architecture options (performance-optimized, capacity-optimized, and tiered-storage solutions), unlimited namespaces for multi-tenant AI apps, hybrid retrieval combining vector, BM25 full-text, JSON, and geospatial filtering with reranking, and an on-demand compute mode that bills per query rather than per provisioned capacity.

Zilliz supports multiple deployment paths: a fully managed SaaS on Zilliz Cloud, Bring Your Own Cloud (BYOC) where data stays in your VPC, migrations from other vector databases, and self-hosted open-source Milvus. It is available across cloud regions on AWS, Google Cloud, and Azure, with a developer hub, documentation, notebooks, and a community Discord for the Milvus ecosystem.

## Pricing & Plans

Zilliz follows a freemium model. There is a free tier for getting started with managed Milvus, flexible paid plans including a Business Critical tier, and enterprise options priced by contact. The website provides a cost calculator and a public list-price page detailing every billing item, so teams can estimate spend before committing.

## Key Features & Capabilities

- **Fully Managed Zilliz Cloud:** A managed Milvus service handling provisioning, scaling, reliability, and upgrades so teams focus on AI applications rather than cluster operations.
- **Billion-Scale Vector Search:** Engineered for 100B+ entities and 10K+ QPS with consistent, predictable latency across tiered performance and storage configurations.
- **Hybrid and Full-Spectrum Retrieval:** Combine vector search with BM25 full-text, JSON, and geospatial queries, plus filtering and reranking for expressive multimodal retrieval.
- **Multi-Tenancy and Global Clusters:** Unlimited namespaces for multi-tenant AI apps, plus multi-region deployment with replication and failover for low-latency global access.
- **Lake-Native Storage and On-Demand Compute:** Keep data and indexes on S3 in open formats and pay per query with on-demand compute, cutting cost for spiky or low-traffic workloads.

## Primary Use Cases

- **Build production RAG pipelines (AI/ML Engineer):** Store and retrieve embeddings at scale for retrieval-augmented generation, using hybrid vector and full-text search with reranking to improve answer quality.
- **Scale multi-tenant AI apps (Platform Architect):** Isolate customers with unlimited namespaces and deploy global clusters with replication and failover for low-latency access worldwide.
- **Unify serving and analytics (Data Engineering Team):** Run real-time retrieval alongside batch analytics on lake-native storage kept in your own S3 buckets, avoiding duplicate data pipelines.
- **Keep data inside your VPC (Enterprise IT / Security):** Use Bring Your Own Cloud so vectors stay in your cloud account while Zilliz manages the control plane and operations.

## Strengths

- Managed service removes the operational burden of running Milvus at scale
- Backed by the original creators of Milvus, with an active open-source ecosystem
- Global multi-cloud deployment across AWS, Google Cloud, and Azure regions
- Transparent pricing with a cost calculator and detailed public list prices
- Supports hybrid vector, full-text, JSON, and geospatial search in one engine

## Limitations

- Full feature depth and tiering options can be complex for small teams to evaluate
- Enterprise-grade pricing may be more than hobby projects need versus self-hosted Milvus
- Advanced lake-native and BYOC features require cloud engineering knowledge to set up
- Vector database market is crowded, making benchmarking against alternatives necessary

## Frequently Asked Questions

### What is the relationship between Zilliz and Milvus?
Milvus is the open-source vector database, and Zilliz is the company that created it. Zilliz Cloud is the fully managed commercial service built on the same engine.

### Can I try Zilliz for free?
Yes. Zilliz offers a free tier on Zilliz Cloud so you can start with managed Milvus at no cost before moving to a paid plan.

### Can my data stay in my own cloud account?
Yes. The BYOC (Bring Your Own Cloud) option lets your data remain in your VPC while Zilliz manages the platform, and lake-native storage can keep data and indexes in your S3 buckets.

### Does it support search beyond vector similarity?
Yes. Zilliz supports BM25 full-text search, JSON and geospatial filtering, and hybrid retrieval combined with vector search, plus reranking.

### What is Zilliz's monthly traffic and growth trend?
Zilliz currently receives 108.89K monthly visits, with a month-over-month traffic change of -21.29K (-16.4% growth rate). Its primary source market is United States (14.7% share), including 36.84K direct visits/mo and — organic search visits/mo.

### Is Zilliz free? What is its pricing model?
Zilliz operates on a Freemium, Paid, Free, Contact for Pricing pricing model. Zilliz follows a freemium model. There is a free tier for getting started with managed Milvus, flexible paid plans including a Business Critical tier, and enterprise options priced by contact. The website provides a cost calculator and a public list-price page detailing every billing item, so teams can estimate spend before committing. Supported billing and checkout platforms include: not listed.

### What are the best Zilliz alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Zilliz are: 1. Pinecone (286.73K visits/mo); 2. MyScale (19.35K visits/mo); 3. Qdrant (72.99K visits/mo); 4. Algolia (689.97K visits/mo); 5. Jina AI (280.78K visits/mo).

### Which platforms and core AI capabilities does Zilliz support?
Zilliz is classified under AI Developer Tools, AI Search Engine, AI Knowledge Base, Large Language Models (LLMs), supports the following platforms: Website, and its core capability tags include: Vector Database, AI, Machine Learning, Milvus, RAG, Large Language Models.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/pinecone-vs-zilliz) |
| [MyScale](https://openaitools.app/tool/myscale-com) | 19,350 | Contact for Pricing, Free | [Compare](https://openaitools.app/compare/myscale-com-vs-zilliz) |
| [Qdrant](https://openaitools.app/tool/qdrant-io) | 72,992 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/qdrant-io-vs-zilliz) |
| [Algolia](https://openaitools.app/tool/algolia) | 689,970 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/algolia-vs-zilliz) |
| [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | Freemium, Paid | [Compare](https://openaitools.app/compare/jina-ai-vs-zilliz) |
| [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/exa-ai-vs-zilliz) |
| [Polygres](https://openaitools.app/tool/polygres) | 4,018 | Freemium | [Compare](https://openaitools.app/compare/polygres-vs-zilliz) |
| [Shaped](https://openaitools.app/tool/shaped) | 11,871 | Contact for Pricing | [Compare](https://openaitools.app/compare/shaped-vs-zilliz) |
| [Ragie](https://openaitools.app/tool/ragie) | 7,557 | Freemium, Free Trial, Free | [Compare](https://openaitools.app/compare/ragie-vs-zilliz) |
| [TwelveLabs](https://openaitools.app/tool/twelvelabs) | 133,085 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/twelvelabs-vs-zilliz) |
| [Meilisearch](https://openaitools.app/tool/meilisearch) | 119,713 | Free Trial, Contact for Pricing | [Compare](https://openaitools.app/compare/meilisearch-vs-zilliz) |
| [SvectorDB](https://openaitools.app/tool/svectordb) | 4,760 | Freemium | [Compare](https://openaitools.app/compare/svectordb-vs-zilliz) |

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Source: https://openaitools.app/tool/zilliz