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.
Company Overview
Elastic N.V. is a pioneering software company that specializes in transforming both structured and unstructured data into real-time, actionable insights. With its comprehensive suite of tools tailored for search, logging, security, and analytics, Elastic has established itself as a critical provider in the realm of enterprise software solutions. The company leverages a unique fusion of open source innovation and enterprise-grade developments to offer high-performance applications that serve a diverse set of industries.
Products and Technologies
At its core, Elastic offers a robust ecosystem built around its renowned software stack. Integral to its offerings are:
- Enterprise Search Solutions: Software that enables rapid indexing and retrieval of data from multiple sources.
- Observability and Logging Tools: Platforms designed for the collection, analysis, and visualization of log data, supporting operational monitoring and troubleshooting.
- Security Analytics: Applications focused on detecting, analyzing, and responding to security incidents by harnessing real-time data analysis.
- Cloud Services: Elastic Cloud solutions offer scalable, managed deployments that combine the flexibility of open source with the dependability of enterprise support.
Market Position and Competitive Landscape
Elastic occupies a well-defined niche where it addresses the growing need for efficient data processing and search capabilities in modern digital enterprises. The company operates in an industry characterized by significant competition, where its open source roots provide a strong community and a vast repository of innovative contributions. This approach not only fosters continuous improvement but also facilitates widespread integration across various sectors. Elastic collaborates with numerous global organizations, which underscores its capacity to support mission-critical systems and deliver substantial cost savings and revenue-enhancing opportunities.
Business Model and Revenue Generation
The company derives its revenue through a hybrid model that includes both subscription-based services and licensing agreements. A key element of its strategy involves the monetization of advanced software features that augment its open source offerings. Through both on-premises installations and managed cloud solutions, Elastic delivers flexible deployments that cater to the unique demands of varied enterprise environments. This multi-channel approach enables the company to serve small-medium businesses and large multinational corporations alike, ensuring adaptability and responsive support across different operational scales.
Innovation Through Open Source and Community Engagement
Elastic is renowned for its open source heritage, which continues to play a vital role in its innovation strategy. The company actively fosters a global community of developers, users, and contributors who collaborate on a vibrant ecosystem of tools and technologies. This community-driven model not only enhances the company’s product features but also ensures that the software remains at the cutting edge of industry trends. By inviting continuous feedback and contributions, Elastic reinforces trust and bolsters its reputation for technical expertise.
Operational Excellence and Technical Expertise
Elastic's solutions are built upon advanced data indexing, search, and analytics algorithms that support both real-time operations and long-term data analysis. With a focus on performance, scalability, and reliability, Elastic addresses the complex demands of enterprise environments. Its technical foundation is designed to process vast volumes of data at high speed, a feature that is critical for organizations seeking to derive strategic insights from ever-growing and diverse data sources.
Customer Base and Global Impact
Elastic’s software solutions are utilized across a broad spectrum of industries, including technology, finance, healthcare, and retail. The adaptability of its software ensures that organizations of varying sizes—from innovative startups to established global enterprises—can derive significant operational benefits. In addition to powering mission-critical systems, Elastic’s solutions help organizations streamline operations, improve security postures, and uncover hidden value in their data. This global impact is further reinforced by the company’s expansive community and its commitment to fostering innovation through open dialogue and collaboration.
Integration and Interoperability
One of the standout features of Elastic’s technology is its ability to seamlessly integrate with a wide range of existing systems and data sources. Whether deployed as an on-premises solution or via the cloud, Elastic’s software is engineered for interoperability, supporting diverse data formats and protocols. This flexibility enables organizations to implement comprehensive data strategies without the friction of disparate systems or legacy technologies. The company’s approach ensures that its products remain relevant and easily adaptable in complex, multi-vendor IT environments.
Summary
In summary, Elastic N.V. is a sophisticated provider of enterprise software solutions that transform how organizations interact with data. With an emphasis on real-time search, logging, security, and analytics, its versatile product suite is designed to leverage the full spectrum of data capabilities in modern enterprise settings. By combining elements of open source innovation, community engagement, and robust technical expertise, Elastic continues to empower organizations worldwide to achieve operational excellence and drive actionable insights from complex data environments.
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.
Elastic (NYSE: ESTC) has appointed Navam Welihinda as its new Chief Financial Officer, effective February 28, 2025. Welihinda will serve as the company's principal financial officer and principal accounting officer.
Welihinda joins from Grammarly, where he served as CFO overseeing corporate finance and development. His previous experience includes seven years at HashiCorp as CFO, where he helped scale the company through its IPO and drove profitable growth. He also held finance leadership roles at IBM and investment positions at Insight Venture Partners, American Capital Strategies, and Sierra Ventures.
The appointment aligns with Elastic's focus on its Search AI Platform and continued development in search, GenAI, observability, and security solutions. CEO Ash Kulkarni highlighted Welihinda's expertise in building multi-product, open source businesses and experience with consumption-based products as key assets for Elastic's next growth phase.
Elastic (NYSE: ESTC) reported strong Q3 fiscal 2025 results with total revenue reaching $382 million, up 17% year-over-year. Elastic Cloud revenue grew 26% to $180 million. The company posted a GAAP operating loss of $5 million with -1% margin, while non-GAAP operating income was $64 million with 17% margin.
Key metrics showed positive momentum with over 1,460 customers having Annual Contract Value above $100,000, and total subscription customers reaching approximately 21,350. The Net Expansion Rate was 112%.
For Q4 FY2025 guidance, Elastic expects revenue between $379-381 million, representing 13% year-over-year growth. Full fiscal 2025 revenue is projected at $1.474-1.476 billion, with 16% year-over-year growth and non-GAAP operating margin of 14.7%.
Elastic (NYSE: ESTC), the Search AI Company, has announced its upcoming participation in the Morgan Stanley Technology, Media & Telecom Conference. The presentation is scheduled for Wednesday, March 5, 2025 at 1:05 p.m. PT / 4:05 p.m. ET.
Investors and interested parties can access both the live webcast and a replay of the presentation through Elastic's Investor Relations page at ir.elastic.co.
Elastic (NYSE: ESTC) has announced that its Elasticsearch Open Inference API now integrates with Jina AI's latest embedding models and reranking products. This integration enables developers building semantic search and RAG applications to utilize Jina AI's high-performance tools without additional integration or development costs.
The collaboration includes support for multilingual text embeddings and reranking, optimized for retrieval, clustering, and classification. The integration combines Jina's resource-efficient search foundation models with Elasticsearch's scalability, allowing developers to build reliable semantic search and RAG applications on a singular platform alongside Elastic models like ELSER.
The support for Jina AI is currently available in Elastic Cloud Serverless, with supported models including jina-embeddings-v3 and jina-reranker-v2-base-multilingual.
Elastic (NYSE: ESTC) has announced it will release its third quarter fiscal 2025 financial results after the U.S. market close on Thursday, February 27, 2025. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET on the same day to discuss the 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.
Elastic (NYSE: ESTC), the Search AI Company, has announced its upcoming participation in the 27th Annual Needham Growth Conference. The company's management will deliver their presentation on Thursday, January 16, 2025, at 12:00 p.m. PT / 3:00 p.m. ET.
Investors and interested parties can access both the live webcast and a replay of the presentation through Elastic's Investor Relations page at ir.elastic.co.
Elastic (NYSE: ESTC) has announced the general availability of Elasticsearch logsdb index mode, a new feature that reduces log data storage footprint by up to 65% compared to recent versions without this mode. The innovation optimizes data ordering, eliminates duplication, and improves compression through advanced algorithms and codecs.
The feature is now generally available for Cloud Hosted and Self-Managed customers in version 8.17 and comes enabled by default for logs in Elastic Cloud Serverless. Basic capabilities are available with Standard, Gold, and Platinum licenses, while complete capabilities are accessible to Serverless customers and Enterprise license holders.
Elastic (NYSE: ESTC) has launched Elastic Rerank, a cross-encoder reranking model designed to enhance semantic search capabilities without requiring reindexing. Built on the DeBERTa v3 architecture, the model demonstrates superior performance compared to larger reranking models, showing a 40% improvement in general retrieval tasks and up to 90% enhancement in question-answering datasets.
The new feature allows developers to semantically boost keyword search with minimal changes to existing data indexing and search processes, offering greater flexibility and cost control. The model is accessible through the Elasticsearch Open Inference API and is available on Elasticsearch Serverless and Elasticsearch 8.17.
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