Welcome to our dedicated page for Elastic N.V. news (Ticker: ESTC), a resource for investors and traders seeking the latest updates and insights on Elastic N.V. stock.
Elastic N.V. (NYSE: ESTC) delivers cutting-edge solutions for search, security, and data analytics, empowering enterprises to transform complex data into actionable insights. This dedicated news hub provides investors and technology professionals with essential updates directly from the company and verified sources.
Access official press releases detailing product innovations, financial results, and strategic partnerships. Our curated collection includes analysis of Elastic's advancements in observability tools, cloud services, and enterprise search capabilities - critical components of modern data infrastructure.
Key coverage areas include quarterly earnings disclosures, security solution updates, and technology partnership announcements. Stay informed about Elastic's open source developments and enterprise software enhancements that drive operational efficiency across industries.
Bookmark this page for streamlined access to Elastic's latest business developments. Regularly updated with verified information, this resource supports informed analysis of the company's market position and technological leadership in real-time data processing solutions.
Elastic (NYSE: ESTC) announced the integration of Elasticsearch with NVIDIA Enterprise AI Factory validated design, positioning itself as a recommended vector database for enterprises building on-premises AI factories. The company will develop a new Elasticsearch plugin using NVIDIA cuVS to enhance vector search index build times and queries.
The collaboration builds upon Elastic's existing vector database optimizations, including hardware-accelerated CPU SIMD instructions, Better Binary Quantization, and improved Filtered HNSW. Elasticsearch's established presence in vector search and AI applications, supported by its open source community, strengthens its position in the enterprise AI market.
Elastic (NYSE: ESTC), the Search AI Company, has scheduled its fourth quarter and fiscal 2025 earnings release for Thursday, May 29, 2025, after the U.S. market close. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET on the same day to discuss financial results and business outlook. Investors can access the live webcast through Elastic's investor relations website at ir.elastic.co, with a replay available for two months following the call.
Elastic (NYSE: ESTC) has unveiled Automatic Migration, a groundbreaking feature designed to streamline the transition from existing SIEM systems to Elastic Security. The new tool uses semantic search and generative AI to automatically map and translate detection rules, eliminating the need for manual rebuilding.
The solution addresses a critical pain point for security teams who often remain tied to inefficient SIEM systems due to the high costs and complexity of migration. The feature intelligently converts existing detection rules, lookups, and macros into Elastic queries using AI grounded in custom knowledge.
Automatic Migration joins Elastic's AI-powered security analytics suite, which includes:
- Automatic Import
- Attack Discovery
- Elastic AI Assistant
The feature is currently available in technical preview for Enterprise license holders and Security Analytics Complete tier subscribers on Elastic Cloud Serverless.
Elastic (NYSE: ESTC) has announced the general availability of Elastic Cloud Serverless on Google Cloud Marketplace, enabling developers to scale Security, Observability and Search solutions without managing infrastructure. The platform is built on the Search AI Lake architecture and leverages Google Cloud Storage to provide vast storage capabilities, separate storage and compute, low-latency querying, and advanced AI features.
This integration allows customers to deploy, manage, and expand their operations on Google Cloud's global infrastructure. The serverless solution offers streamlined workflows for developers to create projects across various use cases while maintaining speed and scale. The service is now available through Google Cloud Marketplace, with immediate access to free trials.
Elastic (NYSE: ESTC) announced significant performance improvements for Elasticsearch running on Google's new Arm-based CPU, Axion. Testing revealed up to 40% higher indexing throughput on C4A VMs powered by Google Axion compared to previous Google Cloud VM generations.
The performance gains were measured using Elastic's macro benchmarking framework for Rally with the elastic/logs track. The C4A virtual machines, which also power Elastic Cloud Serverless, are enhanced by Google's Titanium SSDs local storage.
Elastic Cloud Serverless running on C4A is currently available in technical preview on Google Cloud, offering improved efficiency and search performance for users leveraging Elastic's search, observability, and security solutions.
Elastic (NYSE: ESTC) has announced that its Elasticsearch vector database is now natively integrated with Google Cloud's Vertex AI platform as an information retrieval engine. This integration enables streamlined development of RAG (Retrieval-Augmented Generation) applications within a single workflow, eliminating the need for additional APIs and data orchestration.
The feature, currently in Public Preview, simplifies deployment with minimal configuration requirements, allowing developers to focus on building next-generation generative AI experiences.
Elastic (NYSE: ESTC) has announced the general availability of LLM Observability integration with Google Cloud's Vertex AI platform in Elastic Observability. This new integration enables Site Reliability Engineers (SREs) to monitor and optimize AI deployments using Vertex AI models.
The integration provides comprehensive insights into various aspects of LLM performance, including:
- Cost tracking
- Token usage monitoring
- Error detection
- Prompt and response analysis
- Performance metrics
According to Santosh Krishnan, general manager of Observability and Security at Elastic, this integration delivers real-time anomaly detection and critical insights for performance optimization, helping teams identify bottlenecks and improve reliability in AI-powered applications.
Elastic (NYSE: ESTC) has been awarded two prestigious 2025 Google Cloud Partner of the Year Awards in the Artificial Intelligence category for Data Management & AI and Tooling. The recognition highlights Elastic's achievements in helping customers develop and deploy GenAI applications.
The partnership features key integrations with Google Cloud's embedding, reranking, and completion models. Notably, Elastic is set to become the first ISV integrated directly into Google Cloud's Vertex AI platform, enabling users to leverage Elastic's vector search capabilities for grounded Gemini models.
The collaboration extends to Elastic's implementation of Google Cloud's Gemini models in features like Elastic AI Assistants, Attack Discovery, and Automatic Import, designed to enhance efficiency for security analysts and SREs. The partnership emphasizes their shared commitment to AI innovation and customer success through practical, impactful solutions.
Elastic (NYSE: ESTC) has announced the general availability of Elastic Distributions of OpenTelemetry (EDOT), a comprehensive open distribution of the OpenTelemetry collector and SDKs for code instrumentation. The release aims to provide SREs and developers with a stable, production-tested OpenTelemetry ecosystem backed by enterprise-grade support.
According to EMA Research, while over 73% of IT decision-makers are using or planning to implement OpenTelemetry, lack of vendor support remains a major adoption barrier. EDOT addresses this challenge by offering production-ready OpenTelemetry with expert support, avoiding vendor lock-in and eliminating the need for schema conversion.
The solution is now available to all Elastic customers, featuring components like EDOT Java and EDOT Python.
Elastic (NYSE: ESTC) has expanded its partnership with Tines, integrating Tines Workflow Automation with the Elastic Search AI Platform to enhance security and observability workflow automation. The integrated solution combines security orchestration, automation and response (SOAR) with AI-driven security analytics.
The partnership addresses the challenge of managing overwhelming data, alerts, and issues requiring intervention in today's digital environment. Key benefits include:
- Faster issue resolution through connected systems and AI-powered workflows
- Increased operational efficiency with automated workflows
- Reduced costs through better incident mitigation
- Consistent execution of standardized procedures
Texas A&M System Cyber Operations has already implemented the solution across their network of 11 universities and eight state agencies, reporting improved detection and response times.
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