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Zilliz Cloud

Vector Databases

Fully-managed vector database service built on Milvus, designed for speed, scale, and high performance AI applications.

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At a Glance

Pricing

Open Source
Free tier available

Starting point for learning and personal projects

Standard Serverless: $0
Standard Dedicated: $99/mo
Enterprise Dedicated: $155/mo

Engagement

Available On

Linux
Web
API
SDK

Resources

WebsiteDocsGitHubllms.txt

Topics

Vector DatabasesRetrieval-Augmented GenerationDatabase as a Service

About Zilliz Cloud

Zilliz Cloud is a fully-managed vector database service built by the creators of Milvus, the world's most popular open-source vector database. It simplifies deploying and scaling vector search applications by eliminating the need to construct and maintain complex infrastructure, enabling developers to build AI-powered applications in minutes.

  • Easy to Use - No experience required; establish a large-scale vector similarity search service in minutes and focus on business logic instead of operations.
  • Optimized Milvus - Built on Milvus with an optimized AUTOINDEX that balances recall and performance, resulting in enhanced efficiency and lower total cost of ownership.
  • Blazing Fast Performance - Enables 10x faster vector retrieval speed than standard Milvus with the Cardinal search engine, unparalleled by other vector database systems.
  • Highly Scalable - Ideal for large-scale vector data with distributed, high-throughput capabilities; easily scale clusters to 500 CUs serving over 100 billion items.
  • High Availability - Offers industry-leading SLAs with 99.95% monthly uptime for all cloud products.
  • Security & Governance - Meets SOC2 Type II and ISO27001 standards, supports Role-Based Access Control (RBAC), SSO, and encryption for robust data protection.
  • Built-in Embedding Pipelines - Converts unstructured data into searchable vector embeddings, handling data preparation, chunking, model selection, and transformation.
  • Multi-Cloud Deployment - Available on AWS, Azure, and GCP across eight regions worldwide.
  • AI Integrations - Integrates with leading AI models and frameworks including OpenAI, Anthropic, Cohere, LangChain, LlamaIndex, and more.

To get started, sign up for a free Zilliz Cloud account, grab an official SDK (Python, Java, Go, or Node.js), create your first collection, and conduct vector similarity searches to power your AI application. When ready to launch, upgrade to a pay-as-you-go plan for production workloads.

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Pricing

FREE

Free Plan Available

Starting point for learning and personal projects

  • 5 GB storage
  • 2.5M vCUs per month included
  • Up to 5 collections
  • Shared environment
  • Google Cloud provider
TRIAL

30 days

Free trial for Standard and Enterprise plans

  • Full access to Standard or Enterprise features
  • $200 free credits

Standard Serverless

Managed essentials for non-critical workloads. Best for prototypes and testing environments.

$0
usage based
  • Fully managed vector databases with core APIs
  • Backup, restore, and basic monitoring
  • Built-in encryption for data in transit and at rest
  • System-managed auto-scaling
  • AWS and Google Cloud providers
  • Business hours support

Standard Dedicated

Managed essentials for non-critical workloads. Best for prototypes and testing environments.

$99
per month
  • Dedicated environment
  • Performance-optimized, Capacity-optimized, or Tiered-storage cluster types
  • Manual scaling to 32 CUs
  • AWS, Google Cloud, Azure providers
  • Single availability zone
  • Business hours support

Enterprise Dedicated

Popular

Enterprise-grade reliability and controls. Best for production applications.

$155
per month
  • 99.95% uptime SLA
  • Audit logs, SSO (SAML 2.0 based), granular RBAC
  • Multi-replica and elastic scaling
  • Private endpoint and VPC peering
  • Enterprise support included
  • Configurable auto-scaling
  • Manual scaling to 256 CUs or more
  • Multiple availability zones
  • 24/7/365 on-call availability

Business Critical

Regulated-ready with maximum resilience. Best for healthcare, finance, and other highly regulated, mission-critical systems.

Custom
contact sales
  • Global cluster with high-level availability and disaster recovery
  • Advanced security: CMEK and full-path in-transit encryption
  • HIPAA-eligible with enhanced data privacy features
  • Priority support and rapid incident response
  • 99.99% uptime SLA with multi-replica
  • Continuous data protection
  • Point-in-time recovery (PITR)
  • Data masking/tokenization
  • 30 min emergency response SLA
View official pricing

Capabilities

Key Features

  • Vector similarity search
  • Filtered search
  • Range search
  • Grouping search
  • Hybrid search
  • Full text search
  • Text match
  • Query operations
  • Data processing
  • Cross-cluster migration
  • Zero downtime migration
  • High speed data import
  • Backup and restore
  • Snapshot
  • Multi-replica support
  • Auto-scaling
  • Private endpoint
  • VPC peering
  • Built-in embedding pipelines
  • Real-time monitoring dashboards
  • Alerts and alerting integrations
  • Role-based access control
  • API key management
  • Data encryption in transit and at rest
  • OAuth 2.0
  • Enterprise SSO (SAML 2.0)
  • Customer managed encryption keys (CMEK)
  • Audit logs
  • IP address access control

Integrations

OpenAI
Anthropic
Cohere
LangChain
LlamaIndex
DSPy
vLLM
Databricks
Airbyte
Fivetran
Voyage AI
Twelve Labs
AWS
Google Cloud
Azure
API Available
View Docs

Reviews & Ratings

No ratings yet

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Developer

Zilliz

Zilliz develops and maintains Milvus, the world's most advanced open-source vector database for AI applications. The company provides Zilliz Cloud, a fully managed Milvus service that offers 10x faster performance with enterprise-grade reliability. Zilliz actively contributes to the open-source community and supports developers building GenAI applications through extensive documentation, bootcamps, and community resources.

Founded 2017
Redwood City, CA
$513M raised
110 employees

Used by

NVIDIA
PayPal
AT&T
Walmart
+66 more
Read more about Zilliz
WebsiteGitHubLinkedInX / Twitter
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