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Zilliz Cloud

Fully managed vector database from the team behind Milvus, with free, serverless and dedicated clusters plus on-demand lake-scale compute.

Freemium

What is Zilliz Cloud?

Zilliz Cloud is a managed vector database service for AI and machine learning workloads such as semantic search and retrieval. You choose SaaS or BYOC (bring your own cloud), then a project plan: Standard for prototypes and test environments, Enterprise for production applications with a 99.95% uptime SLA, and Business Critical for regulated, mission-critical systems with CMEK and HIPAA-eligible options. Clusters come as a free cluster, serverless clusters that bill by read and write operations, and dedicated clusters measured in compute units (CUs), with performance-optimized, capacity-optimized and tiered-storage types. A newer On-demand Compute option runs search and indexing jobs on zero-copy external data and charges only for active runtime. Search types include vector, filtered, hybrid and full-text search, with SDKs for Python, Java, Go and Node.js. The free cluster includes 5 GB of capacity; paid dedicated compute is listed per CU-hour.

Use cases

  • Store and search embeddings for RAG applications
  • Run semantic search over product or document data
  • Combine vector and full-text hybrid search
  • Run lake-scale indexing jobs on external data
  • Migrate a vector database from an external source
  • Deploy vector search in your own cloud with BYOC
  • Prototype on a free cluster before moving to production

Who it's for

  • AI engineers
  • Backend developers
  • Data teams
  • Enterprise platform teams

Why use Zilliz Cloud

  • A free cluster lets you build and test before committing to a paid plan.
  • Dedicated clusters give predictable performance, with prices listed per CU-hour.
  • BYOC lets organizations keep the data plane in their own cloud account while using the same features as Business Critical.
  • On-demand Compute avoids always-on cost for batch search and indexing jobs.
  • Plans scale from prototype to regulated workloads with SLAs, CMEK and HIPAA-eligible options.

Zilliz Cloud features

  • Free, serverless and dedicated cluster options
  • Performance-optimized, capacity-optimized and tiered-storage dedicated clusters
  • Vector, filtered, range, grouping, hybrid and full-text search
  • On-demand Compute for lake-scale jobs on zero-copy external data
  • Python, Java, Go and Node.js SDKs plus RESTful APIs
  • Deployment on AWS, Google Cloud and Azure
  • RBAC, SSO, audit logs and customer-managed encryption keys on higher plans
  • Private endpoints, VPC peering and IP allowlists
  • SOC 2 Type II and ISO/IEC 27001 compliance, GDPR ready, HIPAA ready
  • Metrics, alerts and observability integrations such as Datadog and Prometheus

Zilliz Cloud integrations

  • AWS
  • Google Cloud
  • Azure
  • Datadog
  • Prometheus
  • AWS S3
  • Google Cloud Storage
  • Azure Blob Storage

How to get started with Zilliz Cloud

  1. Create an organization and project, and decide between SaaS and BYOC.
  2. Pick a plan and a cluster type: free, serverless or dedicated.
  3. Create a collection, load vectors with an SDK or high-speed import, and build indexes.
  4. Query with vector, filtered or hybrid search from your application.
  5. Watch metrics and the cost estimate, and resize or suspend clusters as workloads change.

Zilliz Cloud limitations

  • The free cluster is limited to 1 per organization, with 5 GB capacity and up to 5 collections
  • Standard plan has no uptime SLA listed; Azure is not available on shared plans
  • Storage charges continue when a cluster is suspended
  • Data transfer, backup storage and audit logs are billed separately from compute
  • Business Critical is selected by contacting sales

Zilliz Cloud pricing

Yes, Zilliz Cloud has a free plan.

Zilliz Cloud plans

  • Free

    Free

    1 free cluster per organization

    • 5 GB capacity
    • Up to 2.5 million vCUs per month
    • Up to 5 collections
  • Standard

    Price on vendor site

    • For prototypes and testing environments
    • Shared or dedicated clusters
    • Non-critical workloads
  • Enterprise

    Price on vendor site

    • 99.95% uptime SLA
    • Audit logs, SSO and granular RBAC
    • Private endpoint and VPC peering
    • Enterprise support included
  • Business Critical

    Custom

    contact sales

    • Global cluster
    • CMEK and full-path encryption in transit
    • HIPAA-eligible
    • Priority support
  • Dedicated compute

    $0.273 /CU /hour

    performance- and capacity-optimized

    • Storage $0.025 / GB / month
    • Security add-on $0.034 / CU / hour
  • Tiered-storage compute

    $0.41 /CU /hour

    dedicated clusters

    • For ultra-large-scale, cost-sensitive workloads
  • On-demand Compute

    $0.41 /CU /hour

    billed by CU-minute

    • Zero-copy access to external data
    • Pay only for active job runtime

Plans as listed on the official pricing page on . Prices can change and may vary by country or exclude tax. Check the official pricing page.

Zilliz Cloud alternatives

The main Zilliz Cloud alternatives listed on Debuly are Pinecone, Weaviate, Qdrant, Chroma, LanceDB and Baseplate. The table compares pricing and platforms; order is A–Z.

Zilliz Cloud compared with its alternatives
ToolPricingStarting pricePlatforms
Zilliz CloudFreemium—Web, API, BYOC, Node.js SDK
BaseplateFreemium—Web, API
ChromaOpen source$250/moAPI, CLI, Self-hosted, Web
LanceDBOpen source—Python, TypeScript, Rust, Self-hosted
PineconeFreemium$20/moWeb, API, AWS, GCP
QdrantFreemium—Web, API, CLI, Self-hosted
WeaviateFreemium$45/moWeb, Self-hosted
  1. Baseplate

    Backend for LLM apps: a hybrid database for data and embeddings, search, an app builder and API endpoints

  2. Chroma

    Open-source search database for AI apps, with vector, full-text, regex and metadata search and a serverless cloud option.

  3. LanceDB

    Open-source vector database and multimodal lakehouse for AI search, retrieval, feature engineering and training data.

  4. Pinecone

    Managed vector database for AI search and RAG, with dense, sparse and full-text indexes, inference and an Assistant API.

  5. Qdrant

    An open-source vector database and search engine for AI workloads, available self-hosted or as Qdrant Cloud with a free tier.

  6. Weaviate

    Open-source vector database with hybrid search and a managed Weaviate Cloud for semantic search, RAG and recommendations.

Zilliz Cloud FAQ

How much does Zilliz Cloud cost?

The list price shows dedicated Performance-optimized and Capacity-optimized compute at $0.273 / CU / hour, Tiered-storage at $0.41 / CU / hour, and On-demand Compute at $0.41 / CU / hour. Storage is $0.025 / GB / month for dedicated clusters. These are estimates, not a quote.

Is there a free plan?

Yes. The Free tier costs nothing and allows one cluster per organization, with 5 GB of capacity, 5 collections and a monthly allowance of 2.5 million vCUs.

What plans does Zilliz Cloud have?

SaaS projects choose from Standard, Enterprise and Business Critical. BYOC is a separate deployment whose feature support matches Business Critical.

Do suspended clusters still cost money?

Vector database compute charges stop while a cluster is suspended, but storage charges continue until you delete the cluster.

Does Zilliz Cloud have an API or SDKs?

Yes. It offers RESTful APIs for control and data plane operations and SDKs for Python, Java, Go and Node.js.

What are alternatives to Zilliz Cloud?

Alternatives include Pinecone, Weaviate, Qdrant, Chroma and LanceDB.

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

SourceTypeAccessed
zilliz.com/official
zilliz.com/pricingpricing
docs.zilliz.com/docs/select-zilliz-cloud-service-planspricing
zilliz.com/pricing/pricing-guidepricing
docs.zilliz.com/docs/zilliz-pricing-promptspricing

Image credits

  • Logo: from zilliz.com · fetched · Vendor trademark, used only to identify the product; removed on request
  • Cover: none collected yet, so a generated tile is shown.

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