Zilliz Cloud, the most performant Vector Database, built on Milvus®
A fully managed vector database and data services, empowering you to unlock the full potential of unstructured data for your AI applications.
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Superior Al-Powered Search
Optimal search strategies and zero manual tuning from AI-powered AutoIndex and Cardinal Search Engine
Smart Query Optimizer
Automated algorithm selection optimizes search performance and accuracy for each dataset
Optimization Suite
End-to-end optimizations across algorithms, systems, and hardware
High Performance & Scale
A cloud-native database with distributed architecture for on-demand scalability and cost-efficient growth
Tiered Storage
Automated storage tiering optimizes performance and cost, improving ROI
Uncompromising Security & Reliability
An enterprise-ready platform delivers reliable performance and enterprise-grade security
Multi-Cloud
Deploy your unstructured data on AWS, Azure, and Google Cloud across the globe
Build faster with a comprehensive suite of vector database features
High Performance Vector Search
Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models.
Low Latency with High Recall
Instill confidence in your data with low latency and high recall, ensuring reliable and accurate real-time decision-making.
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Hybrid Search
Enable querying across multiple vector fields, supporting multimodal, sparse-dense, and dense-text combinations for more accurate results.
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Various Similarity Metrics
Choose the right similarity metric (Cosine, Euclidean, IP, etc) to improve the classification and clustering performance.
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Tunable Consistency
Gain flexibility with multiple consistency levels to align data accuracy and performance with your unique application needs.
Scale as Needed
Effortlessly scale horizontally with component-based architecture, ensuring peak performance and efficiency, regardless of workload fluctuations.
Reduce TCO with Cloud-Native Vector Search
While Milvus offers powerful vector search capabilities, it requires significant investment in skilled engineers, performance tuning, and ongoing maintenance.
Zilliz eliminates these costs through our innovative Cardinal search engine and management tools—reducing total cost of ownership by up to 70% and optimized for your use cases: Recommendation Systems, RAG Applications, or Anomaly Detection Systems.
Built for High-Performance Recommendations
Our platform delivers the high recall and fast response times your recommender systems need, while reducing costs through:
Data-aware indexing and hardware optimizations reduce storage and compute costs without sacrificing search performance
Streamlined APIs, automated deployment, and built-in features eliminate months of manual development and tuning typically needed for vector search
Automated upgrades, scaling, and monitoring ensures system reliability while eliminating operational maintenance
Recommender System
2yr TCO: Milvus vs. Zilliz Cloud
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See what our customers are saying
We were running a multilingual RAG system at scale, indexing all of Wikipedia into tens of millions of high-dimensional vectors. Latency targets were tight. We needed a system that could handle real-time retrieval over millions of knowledge vectors without breaking under load. Zilliz gave us that. It freed up engineering cycles and let us focus on improving reasoning on the model side, not managing infrastructure. That reliability mattered because we were operating at 3,500+ dimensions per vector, across a fast-growing corpus, with sub-300ms latency requirements in production. "
Dr. Pratyush Kumar
Co-Founder of Sarvam
I was benchmarking different vector databases, and Milvus was at the top among all the popular options on the market."
Saumil Patel
the Senior Data Scientist from Ivy.ai
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Zilliz Cloud stood out for us with its comprehensive range of index types, automatically optimizing for the perfect balance between recall and performance. Its robust security and private networking features, combined with the advantage of a fully-managed database, have significantly lightened our operational load, enabling us to concentrate on driving innovation rather than managing backend complexities. "
Ben Kramer
Co-founder & CTO of Monterey AI
When we conducted our first test run (on Zilliz Cloud), the performance improvement was astonishing. Our search time went from eight seconds down to sub one second. We were nearly falling off our chairs with amazement at the speed."
Alex Alexander
Co-founder & CEO of Picdmo Inc.
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Zilliz Cloud perfectly aligns with MindStudio's vision. Its high-performance, secure platform and multi-tenancy simplifies data management and unlocks unprecedented productivity and innovation for our users’ AI applications. "
Sean Thielen
CTO @ MindStudio
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I appreciated using the open standard evaluation benchmarks for machine learning in general; this is also true for vector databases. The ones that Zilliz often publicizes have been beneficial, and the fact that they are open is significant. "
Sam Butler
Director of Machine Learning @ Dopple.AI
Learn moreReliability, scalability, and performance are great. The fact that we can outsource all this kind of administration management and don't have to worry about servers breaking helps us put resources into product development and innovation, which truly differentiates our business. "
Michal Oglodek
CTO of Ivy.ai
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Since transitioning from the open-source Milvus vector database to the fully managed Zilliz Cloud, we’ve experienced significant improvements in business performance. We’ve achieved lower operational costs, increased search speed, a more flexible system architecture, and a more stable user experience. Zilliz Cloud also provides expert support to resolve issues quickly and effectively. Overall, Zilliz Cloud has given us greater convenience and a competitive edge, and we are very pleased and optimistic about this change."
Shengyi Pan
CTO of Shulex
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When we identify a need for specific data, we can often find the required data in our database the same day using text or image search with Milvus. This greatly improves our data processing efficiency and has a positive effect on our business operations."
Mr. Zhang
BOSCH’s principal software engineer
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Zilliz is a very integral part of our workflow. If we just swapped Zilliz Cloud with something else, the kind of loops that we get might not make sense, which means the end composition might not sound very nice or might not be very accurate to the text prompt you had given."
Sangarshanan Veera
Senior Software Engineer at Beatoven.ai
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Zilliz Cloud enabled us to scale search while dramatically reducing our costs. Its hybrid search capabilities helped us achieve higher relevance for both text and image queries."
Celine Lightfoot
CTO of Beni
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Working with Zilliz Cloud has been transformative for our AI agent architecture. The hybrid search capability alone delivered a 40% accuracy improvement, and the scalability means we never worry about performance, even during the highest traffic periods. It's been essential to our continued growth."
Sasidhar Janaki
Senior Software Engineer at Rexera
Learn moreWe were facing latency issues and scaling challenges with our previous solutions. When traffic spiked with millions of customer requests, our self-hosted infrastructure couldn't keep up, and document retrieval was taking too long. "
Sasidhar Janaki
Senior Software Engineer at Rexera
Learn moreWe were running a multilingual RAG system at scale, indexing all of Wikipedia into tens of millions of high-dimensional vectors. Latency targets were tight. We needed a system that could handle real-time retrieval over millions of knowledge vectors without breaking under load. Zilliz gave us that. It freed up engineering cycles and let us focus on improving reasoning on the model side, not managing infrastructure. That reliability mattered because we were operating at 3,500+ dimensions per vector, across a fast-growing corpus, with sub-300ms latency requirements in production. "
Dr. Pratyush Kumar
Co-Founder of Sarvam
I was benchmarking different vector databases, and Milvus was at the top among all the popular options on the market."
Saumil Patel
the Senior Data Scientist from Ivy.ai
Learn moreExplore Our Pricing Plans
Offering multiple tiers and compute types, our scalable, pay-as-you-go pricing fits any budget and accommodates all types of workloads
Discover the best performance-price ratio in the market. See potential savings of up to 80% compared to other vector databases
