Zilliz
Zilliz is a fully managed Milvus vector database management system that supports billion-scale vector search and is trus,Zilliz is a fully managed Milvus vector database management system...
Zilliz is a fully managed Milvus vector database management system that supports billion-scale vector search and is trus,Zilliz is a fully managed Milvus vector database management system...
Mindber Score™
Score pending - additional data required
Mindber Score™
Score pending - additional data required
Starting price
From $0
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AI Search
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Mindber finds Zilliz to be a credible managed vector database, but one whose value depends heavily on whether you're already committed to the Milvus ecosystem.
- What is Zilliz?
- Zilliz is a fully managed Milvus vector database management system that supports billion-scale vector search and is trus,Zilliz is a fully managed Milvus vector database management system that supports billion-scale vector search and is trusted by over 10,000 enterprise users. It offers high performance and scalability, making it an ideal choice for AI applications Target UsersZilliz is suitable for enterprise users who need to conduct large-scale vector search, especially those with requirements in the field of AI applications. It helps users quickly deploy and scale vector search applications, improve search efficiency, and reduce costs.Use CasesBuild a recommendation system using Zilliz Cloud to enhance the user's personalized experienceUse Zilliz for text semantic search to speed up document retrievalConduct image similarity search with Zilliz to optimize image library managementFeaturesSupport billion-scale vector search to meet the needs of large-scale AI applicationsProvide fully managed services, eliminating the hassle of building and maintaining complex infrastructureSupport multiple programming languages such as Python, Java, Go, and Node.jsBe deployable on cloud platforms like AWS, Azure, and GCP, and offer services across 8 global regionsFeature high availability with a 99.95% monthly uptime guaranteeHow to UseRegister and log in to a Zilliz Cloud accountSelect the desired service package and create a vector collectionConnect to the database using the SDK and perform vector similarity searchOptimize the functions of AI applications based on the search resultsUpgrade to a paid plan to enjoy more features and services
- Who is it for?
- Zilliz is suitable for enterprise users who need to conduct large-scale vector search, especially those with requirements in the field of AI applications It helps users quickly deploy and scale vector search applications, improve search efficiency, and reduce costs
- Pricing
- free · View pricing
Product information
What this product does
Zilliz is a fully managed Milvus vector database management system that supports billion-scale vector search and is trus,Zilliz is a fully managed Milvus vector database management system that supports billion-scale vector search and is trusted by over 10,000 enterprise users. It offers high performance and scalability, making it an ideal choice for AI applications Target UsersZilliz is suitable for enterprise users who need to conduct large-scale vector search, especially those with requirements in the field of AI applications. It helps users quickly deploy and scale vector search applications, improve search efficiency, and reduce costs.Use CasesBuild a recommendation system using Zilliz Cloud to enhance the user's personalized experienceUse Zilliz for text semantic search to speed up document retrievalConduct image similarity search with Zilliz to optimize image library managementFeaturesSupport billion-scale vector search to meet the needs of large-scale AI applicationsProvide fully managed services, eliminating the hassle of building and maintaining complex infrastructureSupport multiple programming languages such as Python, Java, Go, and Node.jsBe deployable on cloud platforms like AWS, Azure, and GCP, and offer services across 8 global regionsFeature high availability with a 99.95% monthly uptime guaranteeHow to UseRegister and log in to a Zilliz Cloud accountSelect the desired service package and create a vector collectionConnect to the database using the SDK and perform vector similarity searchOptimize the functions of AI applications based on the search resultsUpgrade to a paid plan to enjoy more features and services
Sourced from zilliz.com
Works With
Platforms
- Web
- iOS
Problem Solved
What problem does Zilliz solve?
It's for engineering teams building AI applications like RAG systems, recommendation engines, and anomaly detection. Running open-source Milvus yourself requires significant investment in skilled engineers, performance tuning, and ongoing maintenance. Zilliz Cloud provides a fully managed vector database with AI-powered AutoIndex and Cardinal search engine, reducing total cost of ownership by up to 70%. For example, a team indexing all of Wikipedia into tens of millions of high-dimensional vectors needs real-time retrieval with sub-300ms latency without managing infrastructure.
Company & Maker
Who built Zilliz?
- Company
- Zilliz
- Product
- Zilliz is a fully managed Milvus vector database management system that supports billion-scale vector search and is trus,Zilliz is a fully managed Milvus vector database management system that supports billion-scale vector search and is trusted by over 10,000 enterprise users. It offers high performance and scalability, making it an ideal choice for AI applications Target UsersZilliz is suitable for enterprise users who need to conduct large-scale vector search, especially those with requirements in the field of AI applications. It helps users quickly deploy and scale vector search applications, improve search efficiency, and reduce costs.Use CasesBuild a recommendation system using Zilliz Cloud to enhance the user's personalized experienceUse Zilliz for text semantic search to speed up document retrievalConduct image similarity search with Zilliz to optimize image library managementFeaturesSupport billion-scale vector search to meet the needs of large-scale AI applicationsProvide fully managed services, eliminating the hassle of building and maintaining complex infrastructureSupport multiple programming languages such as Python, Java, Go, and Node.jsBe deployable on cloud platforms like AWS, Azure, and GCP, and offer services across 8 global regionsFeature high availability with a 99.95% monthly uptime guaranteeHow to UseRegister and log in to a Zilliz Cloud accountSelect the desired service package and create a vector collectionConnect to the database using the SDK and perform vector similarity searchOptimize the functions of AI applications based on the search resultsUpgrade to a paid plan to enjoy more features and services
- HQ
- Redwood City
- Founded
- 2017
- Team size
- 51-200
- Live since
- Feb 2015
- Founders
- Charles Xie - CEO
- James Luan - CTO
Some facts above are based on publicly available information and may have changed.
The maker hasn't published a public statement we can verify yet.
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Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Build a recommendation system using Zilliz Cloud to enhance the user's personalized experienceUse Zilliz for text semantic search to speed up document retrievalConduct image similarity search with Zilliz to optimize image library management
Pricing reality
Verified Oct 2026 / Vendor pricing evidence only
Starting price
From $0
Free tier available.
Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the verified starting price instead of fabricating plan names or $0 tiers.
Free
Starting point for learning and personal projects.
$0
- 5 GB storage2.5M vCUs per month includedUp to 5 collectionsCommunity support: Slack invite link
- 5 GB storage
- 2.5M vCUs per month included
- Up to 5 collections
- Community support: Slack invite link
Tiered-storage
per million vectors / month
$5
- Best for ultra-large-scale, cost-sensitive workloads.
- Per CU Capacity
- 40 million vectors
- Search QPS
- 10-50
- Search Latency
- 100-1000ms
- From $5
Capacity-optimized
per million vectors / month
$16
- Perfect for applications handling large vector datasets while maintaining reliable search speeds.
- Per CU Capacity
- 8 million vectors
- Search QPS
- 100-300
- Search Latency
- 50-100 ms
- From $16
Performance-optimized
per million vectors / month
$63
- Ideal for real-time applications requiring instant search results and high concurrent traffic.
- Per CU Capacity
- 2 million vectors
- Search QPS
- 500-1500
- Search Latency
- 10 ms
- From $63
What pricing pages often hide
True cost for your case
LIVE ESTIMATEEstimated spend
$0Recurring billing is usually the real cost driver, not the first-month sticker price.
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Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
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HOW THIS TOOL SCORES
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Innovation Index™
Is it new, different, and easy to understand?
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Medium confidence (50%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
130.2K
Avg visit duration
00:00:49
Pages per visit
2.64
Bounce rate
41.34%
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
FAQ
Reviewed buyer questions will appear here once Mindber has enough approved evidence.
FAQ pending verification
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Social mentions
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Showing top 3 of 10 linked mentions.
Sources and methodology
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