Latest news with #ZillizCloud
Korea Herald
14-07-2025
- Business
- Korea Herald
Zilliz Cloud Expands Global Footprint with New Azure Region in Central India
New region empowers customers to meet data sovereignty, regulatory, low-latency, and cost-efficiency goals when building AI applications. REDWOOD SHORES, Calif., July 14, 2025 /PRNewswire/ -- Zilliz, the company behind the most popular open-source vector database Milvus, today announced the availability of a new Zilliz Cloud region in Azure Central India, further expanding its global infrastructure. This new region enables customers—from fast-moving startups to global enterprises—to build and scale AI applications while ensuring data locality, regulatory compliance, low-latency performance, and lower cloud costs. With data residency becoming a critical requirement for many businesses operating in India and nearby markets, the new Azure Central India region provides developers with greater control over where their data lives, without compromising on performance or budget. "Developers rely on Zilliz Cloud every day to build and scale AI applications more quickly, efficiently, and cost-effectively," said Charles Xie, CEO at Zilliz. "By adding a new region in India, we're helping customers reduce cross-border data transfer costs and latency, while also simplifying compliance with local regulations. It's a win-win for both innovation and infrastructure spend." Global Infrastructure with Local Performance Zilliz Cloud now operates across 26 cloud regions globally, making it one of the most geographically distributed vector database platforms available. The Central India region joins key international deployments across AWS, Google Cloud Platform (GCP), and Microsoft Azure in North America, Europe, and Asia-Pacific. Key international regions include: This expansion makes it simple for organizations to optimize for latency, locality, and cost, all while scaling to support billions of vector embeddings and the most demanding GenAI workloads. With auto-scaling, usage-based pricing, and deployment flexibility across providers, Zilliz Cloud helps teams reduce operational overhead and focus on building AI features that deliver value. Companies like Sarvam, a leading AI startup building multilingual models in India, exemplify the demanding performance requirements driving this expansion."We needed a system that could handle real-time retrieval over millions of knowledge vectors without breaking under load," said Dr. Pratyush Kumar, Co-Founder of Sarvam. "Zilliz gave us that. It freed up engineering cycles and let us focus on improving reasoning on the model side, not managing infrastructure." Now Available to All The Azure Central India region is now live and available to all Zilliz Cloud customers. Organizations can immediately begin deploying clusters in the new region through the Zilliz Cloud console. For more information about this new region, check out this launch blog or connect with our technical team for help. About Zilliz Zilliz builds next-generation database technologies that help organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Headquartered in Redwood Shores, California, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.
Cision Canada
15-06-2025
- Business
- Cision Canada
Zilliz Transforms Video Surveillance Industry with AI-Powered Vector Database Solutions
Leading surveillance providers leverage Zilliz Cloud to overcome data overload challenges, enabling real-time threat detection and sub-second video search across enterprise installations. REDWOOD SHORES, Calif., June 15, 2025 /CNW/ -- Zilliz, creator of the world's most widely adopted open-source vector database, Milvus, today announced significant adoption of its vector database solutions by video surveillance providers addressing critical industry challenges. As the global video surveillance market, valued at over $62 billion and growing rapidly, evolves from passive monitoring tools to intelligent, proactive security solutions, organizations using Zilliz Cloud and Milvus report breakthrough capabilities in overcoming data overload, eliminating manual monitoring inefficiencies, and achieving real-time threat detection. Traditional video surveillance systems struggle with data overload from underutilized footage, time-consuming manual monitoring processes, and data silos that prevent cross-domain intelligence integration. Surveillance platforms implementing Zilliz Cloud vector databases are solving these persistent challenges by transforming vast amounts of video data into actionable intelligence through vector embeddings that represent visual context and meaning. "The video surveillance industry is undergoing a massive transformation from reactive monitoring to proactive intelligence," said Charles Xie, CEO of Zilliz. "Traditional surveillance systems create bottlenecks with manual processes prone to human error and data overload that limits effectiveness. Our customers are building AI-native security solutions that can process vast amounts of visual data in real-time, detect anomalies instantly, and provide actionable insights that were previously impossible to achieve." Major Surveillance Platforms Report Breakthrough Performance Leading cloud-based surveillance providers report transformative results after transitioning from traditional databases to Zilliz Cloud's vector search technology. A major multi-tenant surveillance platform serving businesses from retailers with thousands of locations to small enterprises managing just a few sites achieved significant improvements in video retrieval performance. The platform now delivers sub-second search capabilities across months of footage using natural language queries such as "person in red jacket near loading dock" or "vehicle parked longer than 30 minutes." "Vector databases have solved the fundamental challenge of extracting meaningful insights from massive video datasets," said a technology executive at the surveillance provider. "We can now provide our customers with instant, accurate search results that would have taken hours of manual review with traditional systems." Organizations implementing these AI-powered capabilities report security teams can now detect threats and respond up to 50% faster than traditional monitoring methods, while automated anomaly detection significantly reduces false positives and operational costs by eliminating extensive manual monitoring requirements. Enterprise customers across retail operations, industrial safety, transportation infrastructure, and smart city initiatives are deploying these capabilities to achieve advanced loss prevention, automated safety monitoring, passenger flow analysis, and privacy-compliant public safety tracking. Zilliz Cloud Delivers Enterprise-Scale Performance Zilliz Cloud's distributed architecture addresses enterprise-scale video processing demands through several key capabilities. The platform processes billions of video vectors with sub-100ms latency while auto-scaling to accommodate traffic spikes and varying workloads. Built-in security, encryption, and compliance features protect sensitive video data, while multi-tenant support enables surveillance providers to serve diverse customer bases efficiently. The vector database approach converts video footage into high-dimensional mathematical representations, enabling sophisticated AI analysis and semantic understanding that supports both real-time monitoring and forensic investigation. This technology eliminates traditional surveillance limitations by breaking down data silos and integrating video insights with other operational systems. Industry Adoption Accelerates with Responsible AI Focus As AI becomes more embedded in surveillance systems, Zilliz emphasizes responsible development practices aligned with privacy regulations such as GDPR. This US-based company's solutions maintain transparency and security standards while designing AI enhancement to augment human capabilities rather than replace security professionals, enabling teams to focus on complex decision-making while automation handles routine monitoring tasks. The integration of AI and vector databases positions surveillance systems for continued evolution, including edge computing implementations, AI-powered video summarization, and autonomous surveillance capabilities that will further improve security operations while reducing operational costs. Organizations implementing AI-powered video surveillance can learn more about Zilliz Cloud at or contact sales for deployment consultations. About Zilliz Zilliz is a US-based global leader building next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions. Headquartered in Redwood Shores, California, United States, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.
Cision Canada
29-05-2025
- Business
- Cision Canada
Zilliz Introduces Zero-Downtime Migration Services for Seamless Unstructured Data & Vector Embeddings Transfers
New solutions eliminate friction, enabling effortless portability of unstructured data and embeddings across systems — with no downtime, no vendor lock-in, and no added cost. REDWOOD CITY, Calif., May 29, 2025 /CNW/ -- Zilliz, creator of the world's most widely adopted open-source vector database, Milvus, introduced a powerful new set of Migration Services designed to make moving unstructured data and vector embeddings between platforms fast, reliable, and cost-free. These solutions eliminate the technical and operational barriers that typically slow down AI data infrastructure modernization. "Organizations working with unstructured data for AI applications face migration challenges that traditional ETL pipelines simply can't solve," said James Luan, VP of Engineering at Zilliz. "Our new tools provide the missing infrastructure layer — making it easy to migrate from Elasticsearch to Milvus, consolidate across multiple vector stores, or move to Zilliz Cloud with zero disruption." Breaking Down Migration Barriers for Unstructured Data Unstructured data — including images, text, audio, and video — now accounts for over 90% of enterprise data. As organizations turn this data into vector embeddings, they run into major roadblocks: Format Variety: Unstructured data exists in diverse formats (JSON, CSV, Parquet, images, etc.), requiring specialized processing System Fragmentation: Business information is scattered across S3, HDFS, Kafka, data warehouses, and data lakes Vendor Lock-in Risks: Moving vector embeddings between databases often creates technical dependencies and potential vendor lock-in Complex Transformations: Converting unstructured data requires AI model integration for embedding generation and schema mapping Two Flexible Options for Every Environment Zilliz offers Migration Services that directly respond to these challenges through two complementary deployment options: Zilliz Migration Service provides a free, fully managed solution with zero configuration requirements and zero downtime. This service handles all aspects of migration while maintaining continuous synchronization between source and target systems. Vector Transport Service (VTS), available as open-source software, offers the same capabilities for organizations that require self-hosted deployments in secure or air-gapped environments. Purpose-Built for AI and Vector Workloads Both solutions deliver essential features specifically designed for unstructured data and vector embeddings: Zero-Downtime Migrations: Continuous synchronization keeps applications running seamlessly during transitions Broad Source Compatibility: Support for Elasticsearch, Pinecone, Qdrant, PostgreSQL, Milvus, and more Flexible Migration Modes: Options for one-time batch imports or real-time streaming synchronization Purpose-Built for Unstructured Data and Vector Embeddings: Specialized handling with schema mapping and transformations Enterprise-Grade Reliability: Designed for massive datasets with robust monitoring and alerting Empowering Data Freedom Across Industries Organizations across sectors are already using Zilliz Migration Services to transform their AI infrastructure: A global retailer migrated 200 million product embeddings from Elasticsearch to Zilliz Cloud, improving search accuracy by 40% while cutting infrastructure costs in half A healthcare organization moved patient data vectors between systems while maintaining strict HIPAA compliance A financial services provider eliminated vendor dependency by moving to an open-source foundation while maintaining continuous operation "Migrating between platforms without rebuilding pipelines from scratch is a game-changer for our AI strategy," said one customer. "What would have taken months of engineering was completed in days, allowing us to focus on innovation rather than infrastructure management." Availability Zilliz's new migration solutions are now generally available: Zilliz Migration Service: Available as a free, fully managed service within Zilliz Cloud Vector Transport Service: Available as open-source software under the Apache 2.0 license at For more information about Zilliz Migration Services, visit or contact support. About Zilliz Zilliz is an American SaaS company that builds next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions. Headquartered in Redwood Shores, California, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.
Yahoo
28-05-2025
- Business
- Yahoo
Zilliz Powers AI-Driven Retail Experiences for Global E-Commerce Leaders
Retail giants like Tokopedia, FARFETCH, and Leboncoin turn to Zilliz for faster search, smarter recommendations, and massive infrastructure savings. REDWOOD CITY, Calif., May 28, 2025 /PRNewswire/ -- Zilliz, creator of the world's most widely adopted open source vector database, Milvus, today announced widespread adoption of its vector database solutions by leading global e-commerce platforms. From visual search and semantic recommendations to real-time inventory matching, retailers using Zilliz Cloud and Milvus report improved customer experiences, faster performance, and infrastructure savings of up to 75%. "As shoppers increasingly expect instant, intuitive search across massive catalogs, retailers need AI-native infrastructure built for unstructured data," said Chris Churilo, VP of Marketing at Zilliz. "Our customers are delivering next-generation discovery experiences — powered by vector search — while dramatically reducing cost and complexity." Unlocking the Future of Product Discovery E-commerce platforms implementing open-source Milvus and Zilliz Cloud (a fully managed Milvus service) for vector search are unlocking new capabilities that directly impact their bottom line: Unlocking the Future of Product Discovery Retailers across regions and segments are adopting Zilliz to power high-performance, scalable AI search and recommendation systems. Results include: Up to 40% more accurate product matching using hybrid semantic + keyword search Sub-30ms latency for personalized recommendations — even during traffic spikes 75% infrastructure cost savings by consolidating legacy systems into a single vector database Faster visual and multimodal search, enabling users to upload photos or describe styles and find products instantly "Zilliz Cloud gave us the speed and scale we needed to power visual search, meeting our sub-200ms latency target and making product discovery seamless for millions of users," said Yann Lemonnier of Leboncoin. "Our search is now 10× smarter and more reliable with Milvus," added Rahul Yadav of Tokopedia, serving 90 million monthly users. Proven Results Across Global Retailers E-commerce leaders across Asia, Europe, and North America are reporting breakthrough improvements in performance and efficiency after switching to Zilliz: Leboncoin (France): Built a visual search engine on 80M listings with sub-200ms latency using Zilliz Cloud Tokopedia (Indonesia): Deployed hybrid search (vector + keyword) for 90M monthly users, resulting in 40% more accurate matches VIPSHOP (China): Replaced Elasticsearch-based recommender system with Milvus, achieving 10× faster queries and 30ms response times Beni (US): Scaled to 200M listings and 1M daily updates while cutting infrastructure costs by 75% These platforms also report simplified architecture, faster deployment of new AI features, and improved reliability during peak traffic periods. A New Standard for AI Infrastructure Zilliz Cloud, a fully managed vector database service, provides retailers with the ability to: Handle billions of unstructured data points with sub-100ms latency Combine semantic and keyword search in a single system Scale seamlessly across regions and traffic volumes Reduce cost and complexity by consolidating infrastructure Organizations looking to transform their e-commerce experiences with vector search can learn more about Zilliz Cloud at or contact sales for more details. About Zilliz Zilliz is an American SaaS company that builds next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions. Headquartered in Redwood Shores, California, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others. View original content: SOURCE zilliz Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
28-05-2025
- Business
- Yahoo
Zilliz Powers AI-Driven Retail Experiences for Global E-Commerce Leaders
Retail giants like Tokopedia, FARFETCH, and Leboncoin turn to Zilliz for faster search, smarter recommendations, and massive infrastructure savings. REDWOOD CITY, Calif., May 28, 2025 /PRNewswire/ -- Zilliz, creator of the world's most widely adopted open source vector database, Milvus, today announced widespread adoption of its vector database solutions by leading global e-commerce platforms. From visual search and semantic recommendations to real-time inventory matching, retailers using Zilliz Cloud and Milvus report improved customer experiences, faster performance, and infrastructure savings of up to 75%. "As shoppers increasingly expect instant, intuitive search across massive catalogs, retailers need AI-native infrastructure built for unstructured data," said Chris Churilo, VP of Marketing at Zilliz. "Our customers are delivering next-generation discovery experiences — powered by vector search — while dramatically reducing cost and complexity." Unlocking the Future of Product Discovery E-commerce platforms implementing open-source Milvus and Zilliz Cloud (a fully managed Milvus service) for vector search are unlocking new capabilities that directly impact their bottom line: Unlocking the Future of Product Discovery Retailers across regions and segments are adopting Zilliz to power high-performance, scalable AI search and recommendation systems. Results include: Up to 40% more accurate product matching using hybrid semantic + keyword search Sub-30ms latency for personalized recommendations — even during traffic spikes 75% infrastructure cost savings by consolidating legacy systems into a single vector database Faster visual and multimodal search, enabling users to upload photos or describe styles and find products instantly "Zilliz Cloud gave us the speed and scale we needed to power visual search, meeting our sub-200ms latency target and making product discovery seamless for millions of users," said Yann Lemonnier of Leboncoin. "Our search is now 10× smarter and more reliable with Milvus," added Rahul Yadav of Tokopedia, serving 90 million monthly users. Proven Results Across Global Retailers E-commerce leaders across Asia, Europe, and North America are reporting breakthrough improvements in performance and efficiency after switching to Zilliz: Leboncoin (France): Built a visual search engine on 80M listings with sub-200ms latency using Zilliz Cloud Tokopedia (Indonesia): Deployed hybrid search (vector + keyword) for 90M monthly users, resulting in 40% more accurate matches VIPSHOP (China): Replaced Elasticsearch-based recommender system with Milvus, achieving 10× faster queries and 30ms response times Beni (US): Scaled to 200M listings and 1M daily updates while cutting infrastructure costs by 75% These platforms also report simplified architecture, faster deployment of new AI features, and improved reliability during peak traffic periods. A New Standard for AI Infrastructure Zilliz Cloud, a fully managed vector database service, provides retailers with the ability to: Handle billions of unstructured data points with sub-100ms latency Combine semantic and keyword search in a single system Scale seamlessly across regions and traffic volumes Reduce cost and complexity by consolidating infrastructure Organizations looking to transform their e-commerce experiences with vector search can learn more about Zilliz Cloud at or contact sales for more details. About Zilliz Zilliz is an American SaaS company that builds next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions. Headquartered in Redwood Shores, California, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others. View original content: SOURCE zilliz Sign in to access your portfolio
