Latest news with #Elasticsearch
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
Elastic Signs Five-Year Strategic Collaboration Agreement with AWS to Accelerate AI Innovation at Scale
Strategic go-to-market collaboration and integrations to help customers build secure AI applications faster with combined search and generative AI capabilities SAN FRANCISCO, May 28, 2025--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced a new five-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS). The agreement reflects a shared commitment to help accelerate organizations' transition into AI-native enterprises through joint product integrations and go-to-market (GTM) initiatives that help customers build generative AI-based applications faster while reducing complexity. Building on a foundation of strong collaboration, Elastic and AWS will continue to invest in technical integrations designed to help customers drive their AI innovation. The integrations of Elastic's Search AI Platform and AWS services will empower customers to build intelligent, scalable, and secure applications with unprecedented speed and flexibility, and will enable them to, Leverage Generative AI features across Elastic solutions using high-performing foundation models through Amazon Bedrock. Unlock support for migrating Elasticsearch workloads from on-premise data centers to Elastic Cloud on AWS Benefit from ongoing cost efficiencies when using Elastic Cloud Serverless on AWS Accelerate agentic AI as a result of the Elastic and AWS collaboration on Model Context Protocol (MCP) and agent-to-agent interoperability Build solutions that protect data across all layers for customers in highly regulated industries, including the Public Sector and Financial Services "As the speed of generative AI adoption accelerates, search has become increasingly relevant," said Ash Kulkarni, chief executive officer at Elastic. "Our collaboration with AWS and integration with Amazon Bedrock brings the power of search directly to generative AI for a host of use cases, including cybersecurity and observability. Together, we're enabling developers to build intelligent, context-aware applications that leverage their own data securely and at scale." "Together with Elastic, we're helping customers transform how they leverage data and AI to drive innovation," said Ruba Borno, vice president, Specialists and Partners at AWS. "This strategic collaboration delivers particular value for highly regulated industries requiring robust data protection, while our shared commitment to standards like Model Context Protocols enables seamless agent-to-agent interactions. Available through AWS Marketplace, customers will be able to quickly deploy solutions that combine Elastic's powerful search capabilities with Amazon Bedrock on the secure, global AWS infrastructure, helping them build compliant, intelligent applications that accelerate their AI journey." The SCA will build on the long-standing collaboration between AWS and Elastic. For example, Elastic AI Assistant, Attack Discovery, Automatic Import, Automatic Migration, Automatic Troubleshoot, and AI Playground integrate with Large Language Models through Amazon Bedrock. These integrations help customers accelerate root cause analysis, synthesize complex signals into actionable insights, automate data onboarding in minutes, and simplify migration. With natural language and RAG-powered workflows, teams can interact with data more intuitively and drive faster, smarter decisions. Customers, including Generis and BigID, benefit from Elastic's work with AWS: "The strength of the Elastic and AWS partnership has been fundamental to Generis's mission of delivering secure, compliant, and intelligent solutions for clients in highly regulated industries," said Mariusz Pala, CTO at Generis. "By deploying Elastic on AWS, we've reduced average search times by 1000% and cut the time to produce complex, compliance-driven documents from two weeks to just two days, providing our clients real-time insights while upholding the highest standards of data integrity and control." "Leveraging Elastic Cloud on AWS has been transformative for BigID. We've achieved a 120x acceleration in query performance, enabling real-time data insights that were previously unattainable," said Avior Malkukian, Head of DevOps at BigID. "The scalability and flexibility of Elastic Cloud on AWS allow us to efficiently manage vast and complex data landscapes, ensuring our customers can swiftly discover and protect their sensitive information. Elastic Cloud on AWS is a powerful combination that allows us to deliver innovative features, reduce operational costs, and maintain our leadership in data security and compliance." This SCA comes on the heels of Elastic's recent recognition within the AWS Partner Network. In December 2024, Elastic was named the AWS Global Generative AI Infrastructure and Data Partner of the Year. It was among the first 15 AWS software partners recognized at the launch of the AWS Generative AI Competency. In recent months, Elastic was also recognized by AWS for its work in the public sector, receiving AWS competency designations for both the Government (February) and Education (May) sectors. Read the Elastic blog to learn more about the ongoing collaboration between Elastic and AWS. About Elastic: Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners. View source version on Contacts Media Contact Alexia RussellPR-team@ 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
Business Wire
21-05-2025
- Business
- Business Wire
Elastic Brings Hybrid Retrieval to Microsoft Semantic Kernel
SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI company, announced the availability of its hybrid search capabilities for Microsoft's Semantic Kernel project, making Elastic's vector database the first to feature this capability. Users can now combine multiple search techniques when using Elasticsearch with Semantic Kernel, enhancing information retrieval and delivering the most significant results to queries. "What sets Elastic apart is our powerful hybrid search capabilities, which our customers can run at vast scale,' said Ken Exner, chief product officer at Elastic. 'As the first vector database to bring hybrid search capability to Microsoft Semantic Kernel, our .NET users benefit from significantly improved retrieval quality, making it easier for them to build enterprise-grade AI applications." Availability Elasticsearch support for hybrid search for Microsoft Semantic Kernel is available now. Additional Resources For more information on the Elasticsearch integration with Semantic Kernel for .NET, read the Elastic blog. About Elastic: Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
Yahoo
21-05-2025
- Business
- Yahoo
Elastic Brings Hybrid Retrieval to Microsoft Semantic Kernel
Elastic is the first vector database to support blended text and semantic retrieval techniques for .NET developers for more relevant, accurate results for search queries SAN FRANCISCO, May 21, 2025--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced the availability of its hybrid search capabilities for Microsoft's Semantic Kernel project, making Elastic's vector database the first to feature this capability. Users can now combine multiple search techniques when using Elasticsearch with Semantic Kernel, enhancing information retrieval and delivering the most significant results to queries. "What sets Elastic apart is our powerful hybrid search capabilities, which our customers can run at vast scale," said Ken Exner, chief product officer at Elastic. "As the first vector database to bring hybrid search capability to Microsoft Semantic Kernel, our .NET users benefit from significantly improved retrieval quality, making it easier for them to build enterprise-grade AI applications." Availability Elasticsearch support for hybrid search for Microsoft Semantic Kernel is available now. Additional Resources For more information on the Elasticsearch integration with Semantic Kernel for .NET, read the Elastic blog. About Elastic: Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners. View source version on Contacts Media ContactElastic PRPR-team@ Sign in to access your portfolio
Yahoo
21-05-2025
- Business
- Yahoo
Elastic Brings Hybrid Retrieval to Microsoft Semantic Kernel
Elastic is the first vector database to support blended text and semantic retrieval techniques for .NET developers for more relevant, accurate results for search queries SAN FRANCISCO, May 21, 2025--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced the availability of its hybrid search capabilities for Microsoft's Semantic Kernel project, making Elastic's vector database the first to feature this capability. Users can now combine multiple search techniques when using Elasticsearch with Semantic Kernel, enhancing information retrieval and delivering the most significant results to queries. "What sets Elastic apart is our powerful hybrid search capabilities, which our customers can run at vast scale," said Ken Exner, chief product officer at Elastic. "As the first vector database to bring hybrid search capability to Microsoft Semantic Kernel, our .NET users benefit from significantly improved retrieval quality, making it easier for them to build enterprise-grade AI applications." Availability Elasticsearch support for hybrid search for Microsoft Semantic Kernel is available now. Additional Resources For more information on the Elasticsearch integration with Semantic Kernel for .NET, read the Elastic blog. About Elastic: Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners. View source version on Contacts Media ContactElastic PRPR-team@
