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Elastic has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms
Elastic has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms

Yahoo

time11 hours ago

  • Business
  • Yahoo

Elastic has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms

Elastic (NYSE:ESTC) is one of the best tech stocks to buy under $100. On July 10, Elastic announced that Gartner positioned it as a Leader in the 2025 Magic Quadrant for Observability Platforms for its Elastic Observability offering. This marks the second consecutive year Elastic has achieved this recognition, which is a result of Gartner's evaluation of the company's overall Completeness of Vision and Ability to Execute. Elastic Observability is powered by Elastic's Search AI Platform and is designed to help organizations monitor, troubleshoot, and optimize their entire ecosystem. Elastic's native integration with OpenTelemetry allows organizations to standardize on open-source instrumentation without custom connectors. The platform also offers an AI-driven Assistant that uses Retrieval Augmented Generation/RAG to connect to enterprise knowledge. A group of software engineers working in an open, futuristic office. Elastic Observability features zero-config AIOps, using out-of-the-box ML capabilities to detect anomalies, forecast trends, and uncover patterns. Its powerful piped query language (ES|QL) facilitates advanced and faster queries for complex investigations. Additionally, Elastic's Search AI Lake supports petabytes of structured and unstructured data. Elastic (NYSE:ESTC) is a search AI company that provides software platforms to run in hybrid, public, or private clouds and multi-cloud environments in the US and internationally. While we acknowledge the potential of ESTC as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the . READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey.

Elastic named Leader in 2025 Gartner Magic Quadrant for observability
Elastic named Leader in 2025 Gartner Magic Quadrant for observability

Techday NZ

time3 days ago

  • Business
  • Techday NZ

Elastic named Leader in 2025 Gartner Magic Quadrant for observability

Elastic has been recognised as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second consecutive year. Gartner recognition The company earned this placement for its Elastic Observability offering after an evaluation of its Completeness of Vision and Ability to Execute. The recognition acknowledges Elastic's work in developing AI-driven capabilities, support for open standards, and the scalability and cost-efficiency of its observability platform. Santosh Krishnan, General Manager, Observability & Security at Elastic, commented on the company's approach to observability, saying: "Visibility alone isn't enough; customers need rapid context-rich insights to troubleshoot complex systems. We feel Elastic's recognition as a Leader in this year's Gartner Magic Quadrant reflects how our open, scalable architecture with AI-driven capabilities is transforming observability from a reactive tool into a solution for real-time investigations while keeping costs low." Key features highlighted The company stated that its differentiation lies in several areas, including native integration with OpenTelemetry, a built-in AI Assistant, and zero-configuration AIOps for anomaly detection. Elastic's AI Assistant leverages Retrieval Augmented Generation (RAG) technology to connect with enterprise knowledge, supporting incident resolution through natural language queries. This allows operational teams to reduce time-to-insight across logs, metrics, and traces. Elastic's zero-config AIOps deploys machine learning capabilities out-of-the-box to automatically detect anomalies, forecast trends, and reveal patterns within large datasets. The piped query language, ES|QL, aims to simplify the complexity of large-scale IT investigations by enabling advanced queries across observability data. Krishnan stated that Elastic's placement in the Magic Quadrant demonstrates the effectiveness of continued investments in open standards and deployment flexibility, alongside scalable performance and cost optimisations. He described the solution's impact on organisations moving from reactive troubleshooting to real-time investigation of incidents and anomalies. Enterprise adoption Elastic's approach to observability has also been adopted by enterprises seeking to consolidate monitoring tools and improve operational efficiency. Eva Ulicevic, Director, Technology, Architecture, Strategy, and Analytics at Telefónica Germany, shared the impact the platform has had within the organisation: "By using Elastic and consolidating multiple tools, we reduced our root cause analysis time by 80%. We also reduced incidents that could severely impact our business." The platform is built on Elastic's Search AI Platform, supporting the monitoring and optimisation of applications, infrastructure, and end-user experience. Elastic's Search AI Lake is designed for petabyte-scale data retention, supporting efficient storage and search for structured and unstructured data. Industry context The Gartner Magic Quadrant evaluates vendors in the observability sector based on criteria such as vision, innovation, ability to execute, and breadth of capabilities. Elastic's leadership listing for the second year underscores continued investment in tools that address the challenges of managing, searching, and analysing large volumes of operational data. Elastic's commitment to open-source standards is emphasised by its native support for OpenTelemetry, enabling organisations to standardise instrumentation and data collection processes without requiring proprietary connectors. The observability platform is positioned to support organisations as they address the growing complexity of cloud-based architectures and meet increased demand for real-time performance monitoring, anomaly detection, and automated root cause analysis.

Elastic Recognized as a Leader in 2025 Gartner® Magic Quadrant™ for Observability Platforms
Elastic Recognized as a Leader in 2025 Gartner® Magic Quadrant™ for Observability Platforms

Business Wire

time10-07-2025

  • Business
  • Business Wire

Elastic Recognized as a Leader in 2025 Gartner® Magic Quadrant™ for Observability Platforms

SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, announced it has been positioned by Gartner as a Leader in the Magic Quadrant for Observability Platforms for its offering, Elastic Observability. The evaluation was based on specific criteria that analyzed the company's overall Completeness of Vision and Ability to Execute. 'Visibility alone isn't enough; customers need rapid context-rich insights to troubleshoot complex systems,' said Santosh Krishnan, general manager, Observability & Security at Elastic. 'We feel Elastic's recognition as a Leader in this year's Gartner Magic Quadrant reflects how our open, scalable architecture with AI-driven capabilities is transforming observability from a reactive tool into a solution for real-time investigations while keeping costs low.' We believe Elastic's placement as a Leader in the Magic Quadrant reflects its continued investment in open standards, AI-driven innovation, breadth of capabilities, and deployment flexibility. The key differentiators that set Elastic apart are: OpenTelemetry-native support: Elastic integrates natively with OpenTelemetry, allowing organizations to standardize on open-source instrumentation without custom connectors. AI-driven assistance: Elastic includes a built-in AI Assistant that connects to enterprise knowledge using Retrieval Augmented Generation (RAG) for accurate answers helping teams triage incidents and troubleshoot using natural language, reducing time-to-insight across logs, metrics, and traces. Zero-config AIOps: Elastic's out-of-the-box machine learning capabilities automatically detect anomalies, forecast trends, and uncover patterns across logs, metrics, and traces. Advanced analytics: Elastic's powerful piped query language (ES|QL) streamlines complex investigations by allowing advanced and faster queries across observability data. Optimized cost, scale and performance: Elastic's Search AI Lake supports petabytes of structured and unstructured data, enabling cost-efficient, high performance data storage without retention compromises. 'By using Elastic and consolidating multiple tools, we reduced our root cause analysis time by 80%,' said Eva Ulicevic, director, Technology, Architecture, Strategy, and Analytics at Telefónica Germany. 'We also reduced incidents that could severely impact our business.' Powered by Elastic's Search AI Platform, Elastic Observability helps organizations monitor, troubleshoot, and optimize their entire ecosystem from infrastructure and application performance to end-user experience. View a complimentary copy of the Magic Quadrant report to learn more about Elastic's strengths and cautions, among other provider offerings, here. Additional Resources Learn more about Elastic Observability and our position in the Gartner Magic Quadrant here. Get started with Elastic Observability here. Gartner, Magic Quadrant for Observability Platforms, Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren 7 July 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Elastic Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic's solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform 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 BV and its subsidiaries. All other company and product names may be trademarks of their respective owners.

ANZ businesses urged to prioritise AI readiness & strategy
ANZ businesses urged to prioritise AI readiness & strategy

Techday NZ

time09-07-2025

  • Business
  • Techday NZ

ANZ businesses urged to prioritise AI readiness & strategy

As AI Appreciation Day approaches, industry leaders are reflecting on the remarkable advancements artificial intelligence has made and emphasising the urgent steps required to ensure its responsible, effective integration into business and society. With AI transitioning from experimental stages to become central in strategic planning, experts highlight both the transformative opportunities and the key challenges now facing organisations, particularly in Australia and New Zealand. Jeremy Pell, Area Vice President for ANZ at Elastic, stresses that AI has reached what he describes as a "critical inflection point." "AI has evolved from basic automation to intelligent systems that can connect enterprise applications and workflows," Pell explains. The success of such systems, however, depends on their ability to access structured and unstructured data rapidly and accurately. This evolution, he asserts, is visible in daily life through applications such as Uber's ride-matching and food delivery platforms, which leverage Elastic's Search AI technology to provide faster, more personalised, and context-aware services worldwide. Pell also notes AI's increasingly critical role in cybersecurity. "Cybersecurity teams must leverage generative AI to strengthen defences against threats like deepfakes and phishing," he maintains. Enhanced search powered by AI is enabling organisations to reduce false positives in threat detection, accelerating both the identification and resolution of incidents. This, Pell believes, is shifting the security landscape and offers a major advantage to proactive businesses willing to embrace these tools. As the technology becomes more integrated and influential, Pell points to the growing responsibility that comes with such progress. The Business Council of Australia's AI Agenda, for instance, sets forth ambitious goals to position the country as a global AI leader by 2028, focusing on digital infrastructure, skills, and the safe adoption of AI across industries. While AI's potential to reshape industries and improve quality of life is significant, Pell believes its true value will only be realised on open, adaptive platforms capable of offering real-time, holistic data insights. "At Elastic, we're proud to empower organisations to harness this new era of AI with confidence and agility," he says. A complementary perspective comes from Kumar Mitra, Executive Director, CAP & ANZ, ISG, at Lenovo. Mitra heralds AI Appreciation Day as a "timely reminder that AI is no longer a distant frontier – it's a business-critical priority." Citing Lenovo's CIO Playbook 2025, developed with IDC, Mitra notes that more than 63% of Australian CIOs view aligning AI to business strategy as their top priority. Despite this, he points out, 58% of those surveyed identify data infrastructure as their principal barrier to advancing AI programmes. "It's clear that scaling AI isn't just about capability – it's about readiness," he insists. Lenovo sees the path forward in what Mitra terms "Hybrid AI" – a distributed, flexible approach to running AI workloads wherever they deliver the greatest value, whether in the cloud, on-premises, or at the edge. Such agility addresses both security concerns and varying business needs. "AI done right can drive both economic and human progress," he adds, citing examples from transforming supply chains and accelerating healthcare diagnostics to enabling inclusive solutions for people with disabilities. For Mitra, it is essential for organisations to move beyond small-scale pilots and instead embed AI as a core component of their growth and inclusion strategies, realising its potential for "sustainable growth, inclusion, and real-world impact." Both Pell and Mitra agree that the promise of AI lies not only in innovative applications but in strategic vision and robust infrastructure. As organisations in Australia and around the world mark AI Appreciation Day, the industry emphasis is on collaboration, responsible stewardship, and investment in systems that will enable AI to drive meaningful progress well into the future.

Elastic Cloud Hosted Achieves FedRAMP® High "In Process" Status
Elastic Cloud Hosted Achieves FedRAMP® High "In Process" Status

Associated Press

time08-07-2025

  • Business
  • Associated Press

Elastic Cloud Hosted Achieves FedRAMP® High "In Process" Status

SAN FRANCISCO--(BUSINESS WIRE)--Jul 8, 2025-- Elastic (NYSE: ESTC), the Search AI Company, announced Elastic Cloud Hosted has achieved the Federal Risk and Authorization Management Program (FedRAMP) High 'In Process' status on AWS GovCloud (US). This milestone reinforces Elastic's commitment to delivering secure and compliant solutions that support the U.S. Federal Government in safeguarding controlled unclassified information (CUI) and other sensitive, high-impact data across various mission-critical use cases. FedRAMP High is the program's most stringent security baseline, requiring more than 400 rigorous security controls to protect cloud environments that manage sensitive unclassified data, including information related to national security, critical infrastructure and financial risk. Elastic Cloud Hosted is already FedRAMP Moderate authorized on AWS GovCloud (US), supporting a wide range of public sector agencies. 'Achieving FedRAMP High 'In Process' status is a significant step toward expanding our support for federal agencies with high-security workloads,' said Chris Townsend, global vice president, Public Sectorat Elastic. 'Whether it's advancing Zero Trust strategies or building generative AI applications, Elastic is committed to delivering secure, transparent, compliant and cost-effective solutions to help government agencies achieve their missions.' With the 'In Process' designation in place, Elastic is working closely with its sponsoring agency and third-party assessors to complete the final phases of the FedRAMP High authorization process. Upon receiving final authorization, Elastic Cloud Hosted will be cleared to support the government's most security-sensitive workloads in compliance with FedRAMP High. Additional Materials About Elastic Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic's solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at source version on CONTACT: Media Contact Elastic PR [email protected] KEYWORD: CALIFORNIA UNITED STATES NORTH AMERICA INDUSTRY KEYWORD: DATA MANAGEMENT SECURITY TECHNOLOGY SOFTWARE ARTIFICIAL INTELLIGENCE INTERNET SOURCE: Elastic N.V. Copyright Business Wire 2025. PUB: 07/08/2025 12:20 PM/DISC: 07/08/2025 12:20 PM

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