Zilliz: Fully Managed, Scalable Vector DB for Enterprise AI

What Is Zilliz?

Zilliz delivers an enterprise-ready, fully managed vector database platform—Zilliz Cloud—built on the battle-tested, open-source Milvus engine. Engineered from the ground up for mission-critical AI infrastructure, it enables seamless billion-vector indexing, ultra-low-latency similarity search, and native support for Retrieval-Augmented Generation (RAG), LLM orchestration, and multimodal AI workloads. By abstracting away infrastructure complexity—from cluster provisioning to auto-scaling and fault tolerance—Zilliz empowers engineering and AI teams to focus on innovation, not operations.

Getting Started with Zilliz

Launch your first vector application in minutes: sign up for a free Zilliz Cloud account, integrate using one of our production-grade SDKs (Python, Java, Go, or Node.js), define a schema, ingest vectors, and run semantic searches—all via intuitive REST APIs or CLI tools. When ready for production, seamlessly transition to flexible, usage-based pricing with no upfront commitments. Every step is guided by comprehensive documentation, interactive tutorials, and real-time observability dashboards.

Why Enterprises Choose Zilliz

Enterprise-Grade Milvus, Fully Managed

Billion-Vector Scale, Sub-100ms Latency

Cardinal Search Engine — Up to 10× Faster Than Standard Vector Search

Massive Elastic Scalability — From 1 CU to 500 CUs; Supports 100B+ vectors

Five-Nines Reliability — 99.95% SLA with multi-AZ deployment

Compliance-First Security — SOC 2 Type II & ISO/IEC 27001 Certified; Granular RBAC & Audit Logs

Embedded AI Pipelines — Pre-built connectors for popular embedding models (OpenAI, Cohere, Sentence Transformers)

True Multi-Cloud Flexibility — Deploy across AWS, Azure, and Google Cloud with identical APIs

Deep AI Ecosystem Integrations — Native support for LangChain, LlamaIndex, Weaviate, and more

End-to-End Data Lifecycle Management — Zero-downtime migration, bulk import/export, point-in-time backup & restore

Production-Ready Observability — Real-time metrics, custom alerts, traceable query logs, and resource utilization dashboards

Fine-Grained Access Governance — Role-based permissions across collections, indexes, and API keys

Real-World AI Applications Powered by Zilliz

RAG-Powered Enterprise Knowledge Assistants

Personalized Recommendation Engines (E-commerce, Media, SaaS)

Semantic Document & Code Search Platforms

Cross-Modal Image Retrieval (e.g., “find products matching this sketch”)

Voiceprint Matching & Audio Fingerprinting Systems

Video Scene Understanding & Frame-Level Similarity Search

Autonomous AI Agent Memory Layers

Computational Drug Discovery — Molecular & Protein Embedding Search

Multimodal Search Across Text, Images, Audio & Sensor Data

Frequently Asked Questions

What is a Compute Unit (CU)?

What is a vCU?

Which CU tier best fits my workload?

How many CUs do I need for my dataset size and QPS target?

Are volume discounts or annual billing options available?

Can I request Zilliz Cloud availability in a new region or cloud provider?

• Support & Contact Information

  For immediate assistance, reach Zilliz Support at [email protected]. For sales inquiries, technical consultations, or refund requests, visit Zilliz Contact Sales.

• About Zilliz

  Company Name: Zilliz Inc.
  Headquarters: 201 Redwood Shores Parkway, Suite 330, Redwood City, CA 94065
  Learn more about our vision, team, and open-source commitment at Zilliz About Us.

• Zilliz Cloud Login

  Access your managed vector database dashboard: https://cloud.zilliz.com/login

• Get Started Free

  Create your Zilliz Cloud account in under 60 seconds: https://cloud.zilliz.com/signup?utm_page=index&utm_button=nav_right

• Transparent Pricing

  Explore flexible, predictable pricing tiers—including free tier, pay-as-you-go, and committed-use plans—at Zilliz Pricing.

• Zilliz on YouTube

  Watch demos, deep-dive webinars, and engineering talks: YouTube: Milvus Vector Database

• Zilliz on LinkedIn

  Follow for industry insights, product updates, and AI infrastructure trends: Zilliz LinkedIn

• Zilliz on X (Twitter)

  Join the conversation on vector search, RAG, and AI engineering: @zilliz_universe

• Zilliz on GitHub

  Contribute to Milvus and explore open-source tooling: github.com/zilliztech

Quick Reference FAQ

What is Zilliz?

Zilliz is the creator of Milvus—the world’s most widely adopted open-source vector database—and the provider of Zilliz Cloud, its secure, scalable, fully managed SaaS offering. Purpose-built for enterprises deploying production AI, it delivers high-throughput, low-latency vector search without infrastructure overhead.

How do I start using Zilliz Cloud?

Begin with a free tier account, select your preferred SDK, create a collection with your vector schema, load data (via API, CLI, or integrations), and execute similarity queries in milliseconds. Upgrade anytime to production-tier resources with automatic scaling and enterprise SLAs.

What is a Compute Unit (CU)?

A Compute Unit represents a pre-configured, isolated compute environment optimized for vector indexing and querying. Each CU includes dedicated CPU, memory, and storage resources—managed end-to-end by Zilliz to guarantee performance and stability.

What is a vCU?

A virtual Compute Unit (vCU) is the billing metric for consumption-based workloads. It dynamically accounts for read/write operations—searches, queries, inserts, deletes—allowing precise cost attribution aligned with actual usage patterns.

Which CU type should I choose?

Use Performance-optimized CUs for latency-sensitive applications like real-time recommendation engines. Choose Capacity-optimized CUs for large static datasets requiring high throughput but moderate latency. Opt for Extended-capacity CUs when managing petabyte-scale archives where cost efficiency outweighs sub-100ms response targets.

How many CUs do I need?

As a rule of thumb: • Performance CU → ~1.5M 768-dim vectors • Capacity CU → ~5M 768-dim vectors • Extended CU → ~20M 768-dim vectors Actual capacity varies based on dimensionality, scalar field count, and index configuration—use Zilliz’s built-in capacity estimator during setup.

Do you offer discounts?

Yes—annual billing unlocks significant savings and additional service credits. Enterprise contracts include custom commitments, reserved capacity, and dedicated support SLAs. Contact sales for tailored plans.

Can I request a new cloud region?

Absolutely. Zilliz continuously expands its global footprint. Submit your region request directly via the Contact Sales form—we prioritize deployments based on customer demand and compliance requirements.