Articles from Elastic N.V.

Elastic (NYSEESTC), the Search AI Company, announced that its management will present at the 27th Annual Needham Growth Conference on Thursday, January 16, 2025, at 12:00 p.m. PT / 3:00 p.m. ET.

Elastic (NYSEESTC), the Search AI Company, announced the general availability of Elasticsearch logsdb index mode. This latest innovation in log management reduces the storage footprint of log data by up to 65% compared to recent versions of Elasticsearch without logsdb index mode. Now, security and observability teams have increased visibility while keeping all data immediately accessible for analysis.

Elastic (NYSEESTC), the Search AI Company, announced Elastic Rerank, a cross-encoder reranking model that offers powerful semantic search capabilities with no required reindexing, and high relevance, top performance, and efficiency for text search. Developers can now semantically boost keyword search with little to no change to how data is indexed and searched, providing flexibility and control over costs.

Elastic (NYSEESTC), the Search AI Company, announced Elastic Security now offers expanded cloud detection and response (CDR) capabilities from a single SIEM to reduce tool fragmentation and streamline cloud security. The additional features include agentless ingestion, cloud asset inventory, extended protections, and graph view that enables out-of-the-box correlation and context enrichment using customers’ existing data.

Elastic (NYSEESTC), the Search AI Company, announced today it is a recipient of a 2024 Geography and Global AWS Partner Award, recognizing leaders that are playing key roles in helping their customers drive innovation and build solutions on Amazon Web Services (AWS). Elastic was named the Global Generative AI Infrastructure and Data Partner of the Year, which recognizes top technology partners with the Generative AI Competency that support vector embeddings data storage and management, or synthetic data generation in various formats.

Elastic (NYSEESTC), the Search AI Company, today announced the general availability of its Elastic Cloud Serverless powered by a re-architectured Elasticsearch that is built on an industry-first Search AI Lake optimized for real-time applications. It combines vast storage with low-latency querying and all of the strengths of Elasticsearch’s AI and search capabilities.

Elastic (NYSEESTC), the Search AI Company, announced today it is strengthening its relationship with Amazon Web Services (AWS) by leveraging the latest generative artificial intelligence (AI) services from AWS. As part of this collaboration, Elastic is offering large language model (LLM) observability support for Amazon Bedrock in Elastic Observability. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies via a single API, along with a broad set of capabilities organizations need to build generative AI applications with security, privacy, and responsible AI.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced financial results for its second quarter of fiscal 2025 ended October 31, 2024.

Elastic (NYSEESTC), the Search AI Company, announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications. The Elastic AI Ecosystem provides developers with a curated, comprehensive set of AI technologies and tools integrated with the Elasticsearch vector database, designed to speed time-to-market, ROI delivery, and innovation.

Elastic (NYSEESTC), the Search AI Company, announced Kubernetes observability support in the Elastic Distributions of OpenTelemetry (EDOT) portfolio, using OpenTelemetry Operator. SREs can now access out-of-the-box configurations designed to streamline collector deployment, application auto-instrumentation and lifecycle management with Elastic Observability, providing complete visibility for Kubernetes environments.

Elastic (NYSEESTC), the Search AI Company, announced Better Binary Quantization (BBQ) in Elasticsearch. BBQ is a new quantization approach developed from insights drawn from a technique proposed by researchers at Nanyang Technological University Singapore called RaBitQ. Elastic’s BBQ is a distinct evolution of the ideas presented in the RaBitQ paper. It delivers advancements in quantization for Lucene and Elasticsearch, offering high-ranking quality while achieving a 95% memory reduction and similar storage offered by scalar quantization.

Elastic (NYSEESTC) (“Elastic”), the Search AI Company, announced that it will release its financial results for its second quarter fiscal 2025 ended October 31, 2024 after the U.S. market close on Thursday, Nov 21, 2024. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET that day to review its financial results and business outlook.

Elastic (NYSEESTC), the Search AI Company, announced that AutoOps, a monitoring and management tool from Elastic’s acquisition of Opster, is now fully integrated into Elastic Cloud. Elastic Cloud users can now access simplified cluster management with performance recommendations, resource utilization and cost insights, real-time issue detection and resolution paths.

Elastic (NYSEESTC), the Search AI company, today announced its successful collaboration with LG CNS, a leading digital transformation company in Korea, to help transform the company’s global knowledge management services with enhanced search for generative AI (GenAI).

Elastic (NYSEESTC), the Search AI Company, today released its 2024 Elastic Global Threat Report, produced by Elastic Security Labs. Based on observations from over 1 billion data points, the report reveals adversary success from using offensive security tools (OSTs) — testing tools created to proactively identify security flaws — alongside misconfigured cloud environments and a growing emphasis on credential access.

Elastic (NYSEESTC), the Search AI Company, today announced support for Google Cloud’s Vertex AI platform in the Elasticsearch Open Inference API and Playground. Developers can now use Vertex AI’s text embedding and reranking models to build production applications on the Elasticsearch vector database. Also, with Elastic Playground, developers can quickly prototype and iterate on RAG applications with Vertex AI and Google Cloud’s Gemini models.

Elastic (NYSEESTC), the Search AI Company, today announced the Elasticsearch Open Inference API now supports the Gemini Developer API. Through Google AI Studio, developers can now interact with data in their Elasticsearch indexes, quickly run experiments and build applications using Google’s models such as Gemini 1.5 Flash. Google AI Studio is where Google releases the latest models from Google DeepMind and is the fastest way to start building with Gemini.

Elastic (NYSEESTC), the Search AI Company, today announced that it listed the Elastic Search AI Platform in the AWS Marketplace for the U.S. Intelligence Community (ICMP). ICMP is a curated digital catalog from Amazon Web Services (AWS) that makes it easy to discover, purchase, and deploy software packages and applications from vendors that specialize in supporting government customers.

Elastic (NYSEESTC), the Search AI Company, has signed a new distribution agreement with Arrow Electronics to deliver Elastic’s Search AI powered Security, Observability and Search solutions to the U.S. and Canada channel. The relationship also reinforces Elastic’s commitment to helping organizations accelerate their migration away from legacy vendors.

Elastic (NYSEESTC), the Search AI Company, today announced the Elasticsearch Open Inference API now supports Hugging Face models with native chunking through the integration of the semantic_text field. Developers can now quickly ship generative AI (GenAI) applications without the burden of writing custom chunking logic, leveraging the Elasticsearch Open Inference API integration with Hugging Face Inference Endpoints.

Elastic (NYSEESTC), the Search AI Company, announced it has joined the Content Authenticity Initiative (CAI). Through its participation, Elastic will help combat digital misinformation, and promote transparency and authenticity across AI-generated content.

Elastic (NYSEESTC), the Search AI Company, announced that its Automatic Import feature now accelerates the migration of custom data sources from legacy logs solutions to AI-driven log analytics. The new feature automates the migration in less than ten minutes.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced financial results for its first quarter of fiscal 2025 ended July 31, 2024.

Elastic (NYSEESTC), the Search AI Company, today announced that it is adding the GNU Affero General Public License v3 (AGPL) as an option for users to license the free part of the Elasticsearch and Kibana source code that is available under Server Side Public License 1.0 (SSPL 1.0) and Elastic License 2.0 (ELv2).

Elastic (NYSEESTC), the Search AI Company, announced that its management will present at the following investor conferences:

Elastic (NYSEESTC), the Search AI Company, today announced the Elasticsearch Open Inference API now integrates with Anthropic, providing developers with seamless access to Anthropic’s Claude, including Claude 3.5 Sonnet, Claude 3 Haiku and Claude 3 Opus, directly from their Anthropic account.

Elastic (NYSEESTC), the Search AI Company, announced support for Google Cloud’s Vertex AI platform and Gemini models in Elastic Attack Discovery and AI Assistant for Security. Security analysts now have additional choices for large language models (LLMs) to automate key triage steps, contextualize and guide investigation, streamline response, create and convert detection rules, generate queries for threat hunting and more.

Elastic (NYSEESTC), the Search AI Company, in collaboration with LangChain, the de facto generative AI orchestration library, is building and delivering AI capabilities that expedite labor-intensive SecOps tasks.

Elastic (NYSEESTC) (“Elastic”), the Search AI Company, announced that it will release its financial results for its first quarter fiscal 2025 ended July 31, 2024 after the U.S. market close on Thursday, Aug 29, 2024. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET that day to review its financial results and business outlook.

Elastic (NYSEESTC), the Search AI Company, announced Elastic Distributions of OpenTelemetry (EDOT), a portfolio of OpenTelemetry (OTel) components designed to improve infrastructure and application monitoring in standard OTel distributions and functions. EDOT provides deeper insights and troubleshooting capabilities to users, including fixes outside of OTel release cycles and enterprise-grade support from Elastic.

Elastic (NYSEESTC), the Search AI Company, has been positioned by Gartner as a Leader in the Magic Quadrant for Observability Platforms for its offering, Elastic Observability1. The evaluation was based on specific criteria that analyzed the company’s overall Completeness of Vision and Ability to Execute.

Elastic (NYSEESTC), the Search AI Company, today announced Elastic Express Migration1, a new incentive program that provides an accelerated path for organizations to migrate away from legacy SIEM vendors and adopt Elastic’s AI capabilities quickly and efficiently. The program’s two key incentives build on Elastic’s simple consumption-based pricing model, with migration credits to mitigate dual-vendor costs during transition plus service credits that can be applied towards Elastic’s migration professional services.

Elastic (NYSEESTC), the Search AI Company, is accelerating the adoption of AI-driven security analytics by automating SIEM data onboarding with Automatic Import. This new feature — the only one of its kind for a security analytics or SIEM solution — automates the development of custom data integrations. With Automatic Import, Elastic Security now adds custom data sources faster than any competing security analytics solution— from up to several days to less than ten minutes— facilitating broader visibility and easier SIEM implementation.

Elastic (NYSEESTC), the Search AI Company, today announced the Elasticsearch vector database now stores and automatically chunks embeddings from mistral-embed, with native integrations to the Open Inference API and the semantic_text field. This reduces time to market for RAG applications and simplifies the development process by eliminating the need to architect bespoke chunking strategies and combining chunking with vector storage.

Elastic (NYSEESTC) announced support for Amazon Bedrock-hosted models in Elasticsearch Open Inference API and Playground. Developers now have the flexibility to choose any large language model (LLM) available on Amazon Bedrock to build production-ready RAG applications.

Elastic (NYSEESTC) (“Elastic”), the Search AI Company, announced that it will conduct a live webcast on July 17, 10:00 AM PT. Santosh Krishnan, GM of Elastic Security will discuss Elastic’s security solution, with participation from an Elastic partner. Koji Ikeda, Sr. Research Analyst at Bank of America Securities will co-host the call.

Elastic (NYSEESTC), the Search AI Company, announced Playground, a low-code interface that enables developers to build RAG applications using Elasticsearch in minutes. Playground’s intuitive interface allows users to A/B test different large language models (LLMs) and refine retrieval mechanisms to ground answers with the proprietary data indexed into Elasticsearch indices.

Elastic (NYSEESTC), the Search AI Company, today announced it has won the U.S. Partner of the Year 2024 Award. The company was honored among a global field of top Microsoft partners for demonstrating excellence in innovation and implementation of customer solutions based on Microsoft technology. Elastic was also named a finalist in the ISV Innovation category among 4,700 nominations submitted globally.

Elastic (NYSEESTC), the Search AI Company, today released its third annual sustainability report, highlighting its progress in 2023 and commitment to embedding environmental, social, and governance (ESG) principles across its business to create long-term sustainable value. Initiatives include reducing its environmental impact through workplace efficiency measures and implementing a supplier engagement strategy to collaborate with vendors on carbon reduction opportunities.

Elastic (NYSEESTC), the Search AI Company, today announced a partner integration package with LangChain that will simplify the import of vector database and retrieval capabilities of Elasticsearch into LangChain applications. This deeper collaboration and native support will empower developers to leverage common retrieval strategies to bring greater context, relevancy, and accuracy to their application builds.

Elastic (NYSEESTC), the Search AI Company, announced the donation of its Universal Profiling agent has been accepted into OpenTelemetry (OTel)’s continuous profiling project. This marks a significant milestone in establishing profiling as the fourth telemetry signal in OpenTelemetry.

Elastic (NYSEESTC) (“Elastic”), the Search AI Company, announced financial results for its fourth quarter and full fiscal year ended April 30, 2024.

Elastic (NYSEESTC) (“Elastic”), the Search AI Company, announced that its management will present at the following investor conferences:

Elastic (NYSEESTC) today announced the Elasticsearch open inference API supports integration with the model catalog hosted in Microsoft Azure AI Studio. This includes native support for the Elasticsearch vector database to store and utilize embeddings from a wide selection of models, including those developed by Open AI and Mistral.

Elastic (NYSEESTC), today announced new Elasticsearch benchmarking on the preview of Azure Cobalt 100 Arm-based virtual machines. This resulted in up to 37% higher throughput performance when using Epsv6 VMs compared to the Ampere Altra-based Epsv5 VMs on Microsoft Azure. Elastic used a macro benchmarking framework for Elasticsearch Rally with the elastic/logs track to determine the maximum indexing performance on Azure Cobalt 100 Arm-based virtual machines.

Elastic (NYSEESTC) (“Elastic”), the Search AI Company, announced that it will release its financial results for its fourth quarter and fiscal 2024 ended April 30, 2024 after the U.S. market close on Thursday, May 30, 2024. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET that day to review its financial results and business outlook.

Elastic (NYSEESTC), the Search AI Company, today announced Search AI Lake, a first-of-its-kind, cloud-native architecture optimized for real-time, low-latency applications including search, retrieval augmented generation (RAG), observability and security. The Search AI Lake also powers the new Elastic Cloud Serverless offering, which removes operational overhead to automatically scale and manage workloads.

Elastic (NYSEESTC), the leading Search AI company, announced LLM Safety Assessment: The Definitive Guide on Avoiding Risk and Abuses, the latest research issued by Elastic Security Labs. The LLM Safety Assessment explores large language model (LLM) safety and provides attack mitigation best practices and suggested countermeasures for LLM abuses.

Elastic (NYSEESTC), the Search AI Company, announced Search AI will replace the traditional SIEM with an AI-driven security analytics solution for the modern SOC. Powered by the Search AI platform, Elastic Security is replacing largely manual processes for configuration, investigation and response by combining search and retrieval augmented generation (RAG) to provide hyper-relevant results that matter. The newest feature, Attack Discovery, triages 100s of alerts down to the few attacks that matter with a single button click, and returns results in an intuitive interface, allowing security operations teams to quickly understand the most impactful attacks, take immediate follow-up actions and more.

Elastic (NYSEESTC), the company behind Elasticsearch®, today announced new vector database performance gains with Elasticsearch and Apache Lucene, with up to 8x speed and 32x efficiency. These advancements provide developers with the most flexible and open tools needed to keep up with rapid generative AI innovation.

Elastic (NYSEESTC), the company behind Elasticsearch®, today announced the Elasticsearch open inference API supports Cohere’s Rerank 3 model. As the first vector database to support Cohere Rerank 3, Elasticsearch now enables developers to benefit from greater semantic relevance to keyword and vector search retrieval for prompting large language models (LLMs).

Elastic (NYSEESTC), the company behind Elasticsearch®, today announced the Elasticsearch open Inference API now supports Cohere’s text embedding models. This includes Elasticsearch native support for efficient int8 embeddings, which optimize performance and reduce memory cost for semantic search across the large datasets commonly found in enterprise scenarios.

Elastic® (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced the winners and honorees of its Elastic Excellence Awards. The awards celebrate organizations and individuals demonstrating ingenuity and resilience by pushing the limits of data search, observability, and security with groundbreaking implementations.

New research by Elastic (NYSEESTC), the company behind Elasticsearch®, found nearly all (99%) global IT decision makers, regardless of region or industry, recognize generative AI’s (GenAI) transformative potential to influence change within their organizations. However, early adoption continues to be slowed by chaotic data estates, search challenges, and fears around privacy and security, regulation, and internal skills gaps.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced financial results for its third quarter of fiscal 2024 ended January 31, 2024.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced that its management will present at the Morgan Stanley Technology, Media & Telecom Conference on Wednesday, March 6, 2024 at 8:45 a.m. PT / 11:45 a.m. ET.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced that it will release its financial results for its third quarter fiscal 2024 ended January 31, 2024 after the U.S. market close on Thursday, February 29, 2024. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET that day to review its financial results and business outlook.

Elastic® (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced the appointment of Mark Dodds as chief revenue officer, effective immediately. Reporting to Elastic CEO Ash Kulkarni, Dodds will be responsible for driving all aspects of the company's revenue growth, building on its ongoing success as the leading search analytics platform.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced it has completed the acquisition of Opster, the creators of AutoOps and other tools used to help users get more out of their Elastic deployments.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced financial results for its second quarter of fiscal 2024 ended October 31, 2023.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced that its management will present at the Barclays Global Technology Conference on Thursday, December 7, 2023 at 11:00 a.m. PT / 2:00 p.m. ET.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced that it will release its financial results for its second quarter fiscal 2024 ended October 31, 2023 after the U.S. market close on Thursday, November 30, 2023. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET that day to review its financial results and business outlook.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced a new two-year global Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to make it easier for shared customers to advance their pursuit of generative artificial intelligence (AI) using Elastic Cloud on AWS.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced an agreement to acquire Opster, the creators of AutoOps, a powerful platform that provides deep insight to automatically detect and resolve issues with cluster health, improve search performance, and reduce hardware costs.

Elastic® (NYSEESTC) ("Elastic"), the company behind Elasticsearch®, today announced Elasticsearch Query Language (ES|QL), its new piped query language designed to transform, enrich and simplify data investigation with concurrent processing. ES|QL enables site reliability engineers (SREs), developers and security professionals to perform data aggregation and analysis across a variety of data sources from a single query.

Elastic® (NYSEESTC) ("Elastic"), the company behind Elasticsearch®, today announced its second Elastic Global Threat Report, issued by Elastic Security Labs. Based on observations from more than 1 billion data points over the last 12 months, the report reveals ransomware is expanding and diversifying; more than half of all observed malware infections were on Linux systems; and credential access techniques have become an essential part of the cloud intrusion process.

Elastic® (NYSEESTC) ("Elastic"), the company behind Elasticsearch®, today announced the appointment of Abhishek Singh as general manager for Observability.

Elastic® (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced that its shareholders elected Paul Auvil to its board of directors at the 2023 annual general meeting of shareholders that took place earlier today. The term of office for Mr. Auvil will expire at the end of the 2026 annual general meeting of shareholders.

Elastic® (NYSEESTC) ("Elastic"), the company behind Elasticsearch®, today announced the launch of Elastic AI Assistant for Observability and general availability of Universal Profiling™, providing site reliability engineers (SREs), at all levels of expertise, with context-aware, relevant, and actionable operational insights that are specific to their IT environment.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced financial results for its first quarter of fiscal 2024 ended July 31, 2023.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced that it has received the 2023 Google Cloud Global Technology Partner of the Year Award. The company was honored as a top Google Cloud ISV partner for delivering innovative solutions and satisfaction to our joint customers, turning their challenges into opportunities.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced that its management will present at the Goldman Sachs Communacopia + Technology Conference on Tuesday, September 5, 2023 at 4:25 p.m. PT / 7:25 p.m. ET.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, announced that it will release its financial results for its first quarter fiscal 2024 ended July 31, 2023 after the U.S. market close on Thursday, August 31, 2023. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET that day to review its financial results and business outlook.

Elastic (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced it is a recipient of a U.S. AWS Rising Star Partner of the Year Award, recognizing Amazon Web Services (AWS) Partners in the U.S. playing a key role helping customers drive innovation and build solutions on AWS.

Elastic ® (NYSEESTC) (“Elastic”), the company behind Elasticsearch®, today announced the appointment of Joanna Daly as chief human resources officer (CHRO) effective July 18, 2023. Reporting to Elastic CEO Ash Kulkarni, Daly will be responsible for Elastic's human resources (HR) strategy and operations, talent management, and compensation and benefits, as Elastic continues to build on its global reputation as the leading search platform.