Cloud-native service for Milvus
A fully managed vector database service, easy, secure, scale at need.
Milvus Expertise
Zilliz Cloud is built by the creators of Milvus. Using our years of experience with over a thousand enterprise Milvus users across a variety of industries, we provide state-of-the-art vector database services and solutions.
Highly Available
With an aim to offer unparalleled customer experience and industry-leading SLAs, Zilliz Cloud offers 99.9% monthly uptime for all the products on our cloud.
Easy to Use
Effortlessly deploy a large-scale similarity search service in only a few minutes. No prior experience necessary.
Blazing Fast
Zilliz Cloud is ultra-fast and hardware-efficient, enabling 10x faster vector retrieval, a feat unparalleled by any other vector database management system.
Highly Scalable
The distributed and high-throughput nature of Zilliz Cloud makes it a natural fit for processing large-scale vector data. You can scale your vector search to tens of billions of vectors.
Security & Governance
Data security is our first priority. Zilliz Cloud complies with the SOC 2 standard and will support Role-Based Access Control (RBAC) soon.
Key features
Vector database features
High performance vector search
Low latency with high recall
Multiple vector search indexes
Various similarity metrics
Built-in data filtering
Full data encryption in transit
Where can vector database help?
Image similarity search
Images made searchable and instantaneously return the most similar images from a massive database.
Video similarity search
By converting key frames into vectors and then feeding the results into Milvus, billions of videos can be searched and recommended in near real time.
Audio similarity search
Quickly query massive volumes of audio data such as speech, music, sound effects, and surface similar sounds.
Molecular similarity search
Blazing fast similarity search, substructure search, or superstructure search for a specified molecule.
Text search engine
Help users find the information they are looking for by comparing keywords against a database of texts.
DNA sequence classification
Accurately sort out the classification of a gene in milliseconds by comparing similar DNA sequence.
Question answering system
Interactive digital QA chatbot that automatically answers user questions.
Recommender system
Recommend information or products based on user behaviors and needs.
Anomaly detection
Identifies data points, events, and/or observations that deviate from a dataset's normal behavior.
Frequently asked questions
In which AWS regions is Zilliz Cloud available?
In current release, Zilliz Cloud supports Amazon Web Services (AWS) as the cloud provider and us-west-2 Oregon as the region.
Which compute size do I need?
In current release, a Standard Small database can hold 600,000,000 rows of 128-dimensional vectors. If you want a database with larger size, please contact us at cloud-support@zilliz.com.
Do you provide technical support?
Yes. You can reach us by email to cloud-support@zilliz.com if you meet any technical difficulties, and we will reach back to you soon.
Can I use Milvus sdk to connect to Zilliz Cloud?
Yes. Zilliz Cloud is 100% compatible with PyMilvus and Milvus Java SDK. If you want to use other Milvus SDKs, it is recommended to test them first.