Latest news with #ZillizCloud
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
Yahoo
12-05-2025
- Business
- Yahoo
Zilliz Cloud Delivers Sub-10ms Latency and Cost Savings for AI-First Companies
AI innovators report faster performance, greater reliability, and lower infrastructure costs by switching to Zilliz's fully managed vector database service. REDWOOD CITY, Calif., May 12, 2025 /PRNewswire/ -- Zilliz, creator of the world's most widely adopted open source vector database Milvus, today shared how AI-first companies across industries are delivering faster, more reliable user experiences by adopting Zilliz Cloud. From conversational AI and healthcare intelligence to music generation, education, and AI companions, these companies are unlocking next-level performance with infrastructure purpose-built for vector search. "As AI applications scale to millions of users, infrastructure becomes a make-or-break factor," said Chris Churilo, VP of Developer Relations and Marketing at Zilliz. "Our customers consistently report sub-10ms latency and fewer outages after switching to Zilliz Cloud — all while keeping costs low enough to reinvest in innovation, not infrastructure." Real-World Results from AI-First Companies Organizations implementing Zilliz Cloud are experiencing transformative performance improvements that directly impact their AI applications: CX Genie: 2x Faster Queries with 24/7 Reliability for AI Chatbots Singapore-based CX Genie doubled query performance after migrating to Zilliz Cloud, reducing latency to just 5–10ms across over 1 million embeddings. The team eliminated recurring downtime and improved global service reliability — critical for its always-on AI-powered customer support. Latency: 2× faster, now 5–10ms Uptime: Zero daily downtime Costs: 70% infrastructure savings Accelerated AI Music Generation at Scale an AI-powered music creation platform, shortened generation time by 2–3 seconds per track after adopting Zilliz Cloud — improving creative workflows for its 1.5 million+ users. Tracks: Over 6 million AI-generated Speed: 2–3s faster music creation Costs: 6× reduction in operational spend Seamless Scaling for AI in Education powers AI chatbots for higher education and government institutions. As data volumes surged by 200%, Zilliz Cloud enabled them to maintain consistent response times without a single outage. Data growth: +200% Reliability: Zero outages Consistency: Stable response times at scale Smarter AI Companions with Better Context Recall Dopple Labs uses Zilliz Cloud to store and retrieve long-term memory embeddings for its virtual AI companion. By improving context awareness across conversations, Dopple now offers more natural, personalized interactions. Context: Improved memory across sessions Interactions: More personalized, human-like dialogue EviMed: Improved Accuracy for Medical AI EviMed, a medical AI platform, integrated Zilliz Cloud to manage 350M+ medical knowledge entries. They achieved better search accuracy and faster responses while cutting system costs. Accuracy: +10% in clinical search precision Speed: +8% faster responses Efficiency: 30% lower operational cost Infrastructure That Accelerates AI Innovation As vector search becomes foundational to LLMs, AI pipelines and applications, performance at the database layer is emerging as a key competitive advantage. "Milliseconds saved in vector query time translate directly into more responsive and reliable AI," added Churilo. "And with reduced operational overhead, our customers can focus on building — not firefighting." The results reported by Zilliz Cloud customers show that database infrastructure is no longer just backend plumbing — it's a core driver of AI performance, reliability, and cost-efficiency. As vector embeddings become central to AI workflows, organizations are turning to purpose-built infrastructure like Zilliz Cloud to support real-time applications at scale. The ability to deliver sub-10ms latency, reduce outages, and cut operational costs gives AI teams a powerful edge in a competitive market. Organizations seeking to enhance the performance and reliability of their AI applications 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
