Cloud-native service for Milvus
A fully managed vector database service, easy, secure, scale at need.
Out-of-box Milvus® experience, zero headache for maintenance.
Unparalleled vector similarity search, with ultra-low latency vector data retrieval on massive, trillion-scale datasets and broad support for various index types and AI algorithms.
Dynamic scaling, up or down as business requirements evolve, and fast, configurable autoscaling that has minimal performance impact.
Enterprise level security
Full data encryption in transit, SOC 2 compliance, and role-based access control for your cluster.
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.
Recommend information or products based on user behaviors and needs.
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 firstname.lastname@example.org.
Do you provide technical support?
Yes. You can reach us by email to email@example.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.