Zilliz Cloud Pricing

Scalable pricing designed for every team to fit any budget. Estimate Cost

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Amazon Web Services

Google Cloud Platform

Microsoft Azure

Free
A starting point for learning, experimenting, and prototyping, with easy migration to paid plans.
Quick Start
1. 5 GB storage
  Enough for 1M 768 dim vectors.
2. 2.5M
  vCUs
  A virtual compute unit (vCU) is used to measure the resources consumed by read operations (such as search and query) and write operations (such as insert, upsert, and delete). The read and write costs vary for different vCU usage.
  per month included
3. Up to 5 collections
Serverless
For applications with variable or infrequent traffic. Minimal configuration required.
$4 / Million
vCUs
A virtual compute unit (vCU) is used to measure the resources consumed by read operations (such as search and query) and write operations (such as insert, upsert, and delete). The read and write costs vary for different vCU usage.
Try Free
1. Pay only for what you use
2. Auto-scaling
3. Up to 100 collections
Dedicated
Offers high control and consistent performance, cost-efficient for development and testing environments.
From
$65 /mo. (Up to 30-day free trial)
Try Free
1. Multiple cloud providers and regions
2. Use case-optimized CU types
3. Basic metrics and monitors
BYOC
Designed for organizations prioritizing custom infrastructure, enhanced data protection, and compliance.
1. Deploy on your infra of choice
2. Enhanced data control and security
3. Flexibility and scalability on demand
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View Plan Feature Details

Free
Quick Start
Serverless
Try Free
Dedicated (Standard)
Try Free
Dedicated (Enterprise)
Try Free

Deployment
Environment	Shared	Shared	Dedicated	Dedicated
CU options
Performance-optimized CUFor scenarios requiring low latency and high throughput. Each CU can handle about 1.5 million 768-dim vectors.
Capacity-optimized CUFor scenarios requiring enhanced storage capabilities. Each CU can handle about 5 million 768-dim vectors.
Public cloud provider	Google Cloud	Google Cloud	AWS, Google Cloud, Azure	AWS, Google Cloud, Azure
Scale Scale up and down with zero downtime.		Auto-scale	Easy scale to 32 CUs	Easy scale to 256 CUs or more
Uptime SLA Guaranteed uptime for production workloads.				99.95%

Support
Community support
Email support
Response time SLAs
Urgent	4 hours	4 hours	1 hour
High	1 business day	1 business day	4 hours
Normal	2 business days	2 business days	1 business day
Technical contacts	Up to 1	Up to 1	Up to 4

High Availability
Availability zone		Single	Single	Multiple
Multi-cloud, multi-region disaster recovery Zilliz Cloud automatically distributes data across multiple cloud service providers and regions, using distributed technology to ensure consistency among all replica data. In the event of a failure, it quickly switches to other replicas.				Coming Soon

Data Security & Compliance
OAuth 2.0
SSO Streamlined user authentication.				Public Preview
MFA
Auditing
API key management
Data encryption in transit and at rest
Backup and restore
IP address access control
Private networking Private connection between your VPC and Zilliz Cloud VPC.
SOC 2 Type II and ISO/ICE 27001 compliant, GDPR and HIPPA ready

Monitoring & Operations
Basic metrics with monitoring dashboards Metrics to monitor performance, storage, usage, data statistics, etc.
Monitor integration and APIs Monitoring API for custom integrations (Prometheus, Datadog).				Coming Soon
Alerts Threshold-based alerts covering resource utilization, performance, failures, billings, etc.

Organization & Member Management
Organization management Organization settings and user management.
Project management Multi-projects and collaborator management.	Single project with basic collaborator management	Multi-projects and collaborator management.	Multi-projects and collaborator management.	Multi-projects and collaborator management.
Organization and project RBAC Role-based access control at both organization and project levels.
Data plane RBAC Data layer RBAC enables precise permission control over collections, partitions, and operations, enhancing security and operational alignment.

Data Management
Cross-tier data migration Easy migration from Free tier, Serverless, and Standard.	From Free tier	From Free tier and Serverless	From Free tier, Serverless & Standard
Migration from external sources Easy migration from Milvus, Elastic Search, MongoDB, Redis, Weaviate, Qdrant, Chroma, etc.
High speed data import High speed data import from object storage like S3.
Recycle bin Dropped collections will be retained for 30 days to facilitate easy recovery.

Pipelines
Data source connectors Both batch and streaming data source are supported.
Ingestion pipelines Ingestion pipelines transform your unstructured data to a searchable vector collection, streamlining doc parsing, chunking, embedding, vector indexing processes.
Search pipelines Search on text and image and supports advanced retrieval strategies such as dense and sparse embedding, multi-stage retrieval and reranking.

Pipelines

Streamline embedding, vector ingestion, search and reranking in one API service. Pipelines support data types including file, text and image, with open-source and 3rd party models. Skip the hassle of DevOps while enjoying the pay-as-you-go pricing.

Estimate Your Cost

Use this calculator to understand how Zilliz Cloud charges.

Cloud Provider

Cloud Region

Pricing Plan

CU Type

Number of Entities
Entities are data records sharing the same set of fields. An entity contains vector fields and scalar fields.

Million

Vector Dimensions

Our pricing calculator is built around vectors. If your dataset contains non-vector fields (such as int, string, json, etc.), you can click "+ Scalar Field" and provide the information to get a more precise cost estimation.

For more information about CU sizes, see docs.

CU Cost
( CU)
CU Usage0 CU
Unit Price$0/CU
$/mo.
Storage Cost
( GB)
Storage Usage0 GB
Unit Price$0/GB
$/mo.

Total Cost (Excl. Tax)

$/mo.

Try Free Contact us

Acknowledgement: Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on a variety of factors, including your actual usage of services.

Frequently Asked Questions

What is a Compute Unit (CU)?
A compute unit (CU) is a group of hardware resources for serving your indexes and search requests. You can simply consider a CU as a fully-managed physical node for deploying search service.
What is a vCU?
A virtual compute unit (vCU) is used to measure the resources consumed by read operations (such as search and query) and write operations (such as insert, upsert, and delete). The read and write costs vary for different vCU usage. The read and write costs vary for different vCU usage
Which type of CU should I pick?
Select the Performance-optimized CU if you require high throughput and low latency for demanding use cases. Alternatively, choose the Capacity-optimized CU if your priority is to host large volumes of data with less concern for throughput and latency, as it offers a better balance of performance and cost.
How many CUs do I need for a given collection?
Performance-optimized CU: Supports up to 1.5 million 768-dimensional vectors.

Capacity-optimized CU: Supports up to 5 million 768-dimensional vectors.

These estimates are based on vectors with primary keys only. Additional scalar fields like IDs or labels may reduce capacity. We recommend conducting your own tests for accurate assessment.
How can I get Zilliz Cloud discounts?
When you commit to an annual plan, you can get additional credits based on your usage.
How can I request a new cloud region?
To request a new cloud service provider region for Zilliz Cloud, please fill out the form.

Zilliz Cloud Pricing

Free

Serverless

Dedicated

BYOC