Latest news with #GigaOm
Techday NZ
2 days ago
- Business
- Techday NZ
Hitachi Vantara named leader for AI storage in GigaOm Radar 2025
Hitachi Vantara has been recognised as a Leader and Fast Mover in the 2025 GigaOm Radar for High-Performance Storage Optimised for AI Workloads. The newly released GigaOm Radar report evaluates advanced storage platforms designed specifically for artificial intelligence (AI) workloads. This is the first time the report has assessed high-performance storage optimised for AI, and Hitachi Vantara's positioning underscores the company's capabilities in supporting enterprise-scale data requirements for AI and machine learning (ML). Report evaluation The GigaOm Radar for High-Performance Storage Optimised for AI Workloads reviews market solutions based on their key capabilities, foundational criteria, feature completeness, and readiness for future demands. Leaders in this assessment are noted for their maturity and strategic alignment with evolving enterprise AI needs, as well as their ability to execute at scale. Hitachi Vantara's placement as a Leader and Fast Mover was attributed to its Hitachi iQ portfolio, which provides AI-ready infrastructure solutions. The report highlighted several strengths, including quality of service (QoS) and workload isolation, GPU-direct storage integration and AI-optimised data layout and management. The report noted, "Hitachi iQ offers world-class QoS and workload isolation capabilities." By combining file system-level policies with flexible cluster architecture, Hitachi iQ enables effective resource allocation, supporting consistent and reliable performance for high-priority AI and ML workloads, even in multi-tenant or shared environments. The platform's GPU-direct storage integration was identified as another area of strong performance. Optimised drivers within Hitachi iQ support efficient data transfer between storage and GPU memory, enhancing outcomes for AI and ML workflows. Additionally, Hitachi iQ's data management strategy utilises intelligent placement across storage tiers, such as TLC/QLC NVMe flash storage for high performance and object storage for additional capacity. Real-time monitoring and user-defined policies are built in to balance performance and cost efficiency for varying data patterns. Industry commentary "What really stood out about Hitachi Vantara's offerings is the quality of service and the ability to isolate workloads," said Whit Walters, Field CTO and Analyst at GigaOm. "They've delivered a well-integrated, scalable platform in Hitachi iQ, backed by enterprise-proven storage. This combination gives organisations a powerful and flexible foundation for operationalising AI at scale, especially as large-scale AI and GenAI workloads will require the ability to manage data and performance as demands continue to grow." The GigaOm report also referenced ongoing collaborations including a partnership with NVIDIA on the NVIDIA Data Platform for Hitachi iQ, a partnership that adds to the capabilities of the platform. The roadmap for Hitachi iQ includes new hardware and AI solutions, among them the Hitachi iQ M Series, announced earlier in the year. Integration with the Virtual Storage Platform One (VSP One) enables further intelligent tiering between NVMe flash and object storage, providing additional flexibility and performance optimisation. Octavian Tanase, Chief Product Officer at Hitachi Vantara, commented on the recognition. "AI isn't just pushing the boundaries of what infrastructure needs to do; it's completely redrawing them," he said. "Our goal with Hitachi iQ is to give customers a high-performance foundation that removes complexity, accelerates outcomes, and adapts to whatever their AI journey requires next. By integrating Hitachi iQ with our VSP One platform, we're enabling a flexible, intelligent storage strategy that's ready for what's now and what's next." Ongoing awards This rating follows recent industry recognition for Hitachi Vantara. In May 2025, the company was awarded the Sustainable Technology Award at the Global Tech & AI Awards for its efforts in sustainable data infrastructure with the VSP One Block solution. Earlier in the year, GigaOm also recognised Hitachi Vantara as a Leader and Outperformer in the GigaOm Radar for Primary Storage, related to its VSP One hybrid cloud data platform. The GigaOm Radar for High-Performance Storage Optimised for AI Workloads aims to shed light on platforms capable of addressing the increased performance, scalability, and operational requirements integral to enterprise AI and machine learning deployments.
Yahoo
2 days ago
- Business
- Yahoo
Hitachi Vantara Recognized as a Leader and Fast Mover in GigaOm Radar for High-Performance Storage Optimized for AI Workloads
Recognition underscores the power of Hitachi iQ combined with VSP One to support AI at enterprise scale SANTA CLARA, Calif., June 18, 2025 /PRNewswire/ -- Hitachi Vantara, the data storage, infrastructure and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501), today announced it has been named a Leader and Fast Mover in the 2025 GigaOm Radar for High-Performance Storage Optimized for AI Workloads. This marks the first iteration of this GigaOm Radar report in this category, and Hitachi Vantara's inclusion as a leader highlights the company's ability to deliver high-performance, enterprise-ready infrastructure to meet the complex demands of AI and machine learning workloads. For more information about the GigaOm Radar for High–Performance Storage Optimized for AI Workloads, please visit: The GigaOm Radar for High-Performance Storage Optimized for AI Workloads is a comprehensive evaluation of the advanced storage market for AI workloads management. Inclusion in this report requires solutions to meet foundational criteria, and vendors are evaluated based on the key capabilities and features of their offerings. Leaders are selected based on strong performance across both current capabilities and forward-looking innovation, including the ability to execute as well as feature completeness and future readiness, representing solutions that are mature and strategically aligned with evolving enterprise AI demands. Hitachi Vantara was recognized for its Hitachi iQ portfolio of AI-ready infrastructure solutions, securing positive ratings in several key areas, including: Quality of service and workload isolation: The report notes that "Hitachi iQ offers world-class QoS and workload isolation capabilities." Hitachi iQ delivers advanced workload isolation by combining file system-level policies with a flexible cluster architecture, allowing teams to effectively allocate resources for a consistent, reliable performance across high-priority AI/ML workloads – even in multi-tenant or shared environments. GPU-direct storage integration: The platform features optimized drivers that deliver significant performance benefits for AI and ML workloads by enabling streamlined data transfer between storage and GPU memory. AI-optimized data layout and management: Hitachi iQ demonstrates intelligent and automated data placement across different storage tiers, including TLC/QLC NVMe flash storage for performance and density, as well as object storage. Additionally, the portfolio utilizes real-time monitoring and user-defined policies that is designed to support optimal performance and cost efficiency across different data patterns. "What really stood out about Hitachi Vantara's offerings is the quality of service and the ability to isolate workloads," said Whit Walters, field CTO and analyst at GigaOm. "They've delivered a well-integrated, scalable platform in Hitachi iQ, backed by enterprise-proven storage. This combination gives organizations a powerful and flexible foundation for operationalizing AI at scale, especially as large-scale AI and GenAI workloads will require the ability to manage data and performance as demands continue to grow." The report accentuates Hitachi Vantara's ability to innovate, citing collaboration with NVIDIA on the NVIDIA Data Platform on Hitachi iQ. Additionally, the report highlights the platform roadmap that includes new hardware and AI solutions, such as the Hitachi iQ M Series, announced in March 2025. It also highlights Hitachi Vantara's advanced integration with Virtual Storage Platform One (VSP One), enabling intelligent tiering between NVMe flash and object storage. "AI isn't just pushing the boundaries of what infrastructure needs to do; it's completely redrawing them," said Octavian Tanase, chief product officer at Hitachi Vantara. "Our goal with Hitachi iQ is to give customers a high-performance foundation that removes complexity, accelerates outcomes, and adapts to whatever their AI journey requires next. By integrating Hitachi iQ with our VSP One platform, we're enabling a flexible, intelligent storage strategy that's ready for what's now and what's next." The rating reflects the latest recognition for Hitachi Vantara technology. In May, the company won the Sustainable Technology Award at the Global Tech & AI Awards 2025 for advancing sustainable data infrastructure with its VSP One Block solution. And earlier this year, the company announced that GigaOm recognized it as a Leader and Outperformer in the GigaOm Radar for Primary Storage for its VSP One hybrid cloud data platform. For more information on Hitachi iQ, please visit: Additional Resources Report: GigaOm Radar for High-Performance Storage Optimized for AI Workloads Press Release: GigaOm Radar Names Hitachi Vantara a Leader and Outperformer in Primary Storage for Virtual Storage Platform One Press Release: Hitachi Vantara Introduces Hitachi iQ M Series, a Modular Design with Hybrid Cloud Data Orchestration for GenAI and Industry-Specific Workloads Blog: Unleashing AI's Full Potential: Hitachi Vantara to Help Solve the Data Challenge Using NVIDIA AI Video: Evolving AI With Hitachi (Presented by Hitachi Vantara) Webinar: Riding the AI Wave with Hitachi IQ Connect With Hitachi Vantara LinkedIn X Facebook About Hitachi Vantara Hitachi Vantara is transforming the way data fuels innovation. A wholly owned subsidiary of Hitachi Ltd., Hitachi Vantara provides the data foundation the world's leading innovators rely on. Through data storage, infrastructure systems, cloud management and digital expertise, the company helps customers build the foundation for sustainable business growth. To learn more, visit About Hitachi, its Social Innovation Business (SIB) that brings together IT, OT(Operational Technology) and products, Hitachi contributes to a harmonized society where the environment, wellbeing, and economic growth are in balance. Hitachi operates globally in four sectors – Digital Systems & Services, Energy, Mobility, and Connective Industries – and the Strategic SIB Business Unit for new growth businesses. With Lumada at its core, Hitachi generates value from integrating data, technology and domain knowledge to solve customer and social challenges. Revenues for FY2024 (ended March 31, 2025) totaled 9,783.3 billion yen, with 618 consolidated subsidiaries and approximately 280,000 employees worldwide. Visit us at HITACHI is a trademark or registered trademark of Hitachi, Ltd. All other trademarks, service marks, and company names are properties of their respective owners. View original content to download multimedia: SOURCE Hitachi Vantara
Cision Canada
2 days ago
- Business
- Cision Canada
Starburst Named a Leader & Fast Mover in 2025 GigaOm Radar for Data Lakes & Lakehouses
BOSTON, June 18, 2025 /CNW/ -- Starburst, the data platform for apps and AI, today announced it has been recognized as a Leader and Fast Mover in the newly released 2025 GigaOm Radar for Data Lakes and Lakehouses report. This marks the third consecutive year that Starburst has earned a leadership position in this influential industry benchmark. The GigaOm report highlights Starburst's dominance across key evaluation categories, including: Product capabilities: Recognition for deep integration across modern cloud ecosystems and robust support for data federation and hybrid architectures. Market execution: Acknowledgement of Starburst's momentum and continued adoption as a distributed SQL engine built on open standards. Innovation trajectory: Commended roadmap execution, leadership in the open lakehouse movement, and readiness for future AI-driven analytics workloads. "As organizations seek agile, scalable data platforms that power both BI and AI, Starburst enables query-in-place architectures that eliminate data silos and unlock real-time insights," said Justin Borgman, Co-Founder and CEO of Starburst. "Our recognition as a Leader and Fast Mover by GigaOm validates our mission to deliver uncompromising performance, openness, and innovation." The GigaOm Radar evaluates vendors on a combination of feature richness, usability, performance, market strategy and innovation roadmap. Positioning Starburst in the Leader and Fast Mover affirms its ability to deliver high-performance federated querying and scalability, support for diverse open table and file formats, hybrid and multi-cloud deployments, and a consolidated and governed data stack that supports analytics and AI workloads. "Starburst received a high score in the business criterion of AI readiness. The nature of AI readiness encompasses AI/ML and generative AI and refers to capabilities and frameworks in data lake/lakehouse offerings that equip customers to leverage their data to implement and improve AI across their organization. Starburst's high score in this business criterion reflects a number of its platform's advanced capabilities, such as its strong data cataloging and data management features, which help organizations curate, organize, and improve their data for all their workloads, including AI-related ones," said Andrew Brust, Lead Analyst at GigaOm. Download and explore the report here: About Starburst Starburst is the data platform built for flexibility, delivering fast, secure access to all your data, wherever it lives. Whether on-premises, across clouds, or in hybrid environments, Starburst provides choice and control to your architecture. Built on an open data stack with Trino and Apache Iceberg, it unifies distributed data without complex or costly migrations, unleashing the full power of the data lakehouse for analytics and AI. With our Lakeside AI architecture, enterprises gain federated access, governed collaboration, and full data lineage, laying the foundation for scalable, compliant AI innovation. Starburst empowers data-intensive and security-conscious organizations to unlock the full potential of their data while ensuring performance, governance, and control. Enterprises in 60+ countries, including Comcast, Citigroup, and 4 of the top 5 global banks, trust Starburst to maximize data value. Our strategic partnerships with AWS, Dell Technologies, and top cloud providers ensures seamless interoperability across environments. From insights to action to AI, Starburst fuels innovation at every level. Learn more at
Forbes
3 days ago
- Business
- Forbes
A Modern Approach To Legacy Software
HAVANA - SEPTEMBER 14: Men relax next to a car as Cuba hosts the week long 14th Non-Aligned Nations ... More summit September 14, 2006 in Havana, Cuba. Leaders from around the world continue to arrive for the Non Aligned Movement that currently has 116 member countries (53 of Africa, 38 of Asia, 24 of Latin America and the Caribbean and one from Europe (Belarus). (Photo by) Software is new, then immediately old. Rather like a new car, the moment you drive it out of the dealership, it starts to lose value and become old and used. It's a talking point that software engineers ponder over long into the small hours. One camp says that new versions of software are needed all the time, the other (if it ain't broke, don't fix it) camp says that legacy software is still around for a reason, it still works. There are software administrators and engineers in government IT departments all over the world using database tools from the 1990s. There are banks and financial institutions around the globe running Java and COBOL software language systems from the same epoch. That's not to say that the public sector and finance are necessarily slow; it's just that sometimes these software services just become deeply embedded and entrenched. VP of engagement and field CTO at technology analyst house GigaOm is Jon Collins. Viewing the world of always-on cloud-native technologies that constantly seek to evolve enterprise IT away from legacy code, Collins says that even though it's a truism that an application becomes legacy the moment it has been deployed; these older COBOL age systems could still perform more effectively if they were given an additional layer of integration and management control. That integration and management promise is embodied in the comparatively new notion of platform engineering, with its self-service internal developer platform structures that enable developers to manage their deployment pipelines and operations infrastructure. Does Technical Debt Stifle AI? Unsurprisingly, it doesn't take AI long to feature in this debate these days. The cloud-native community advocates the need for technologies that far outstrip the big data tools that we considered contemporary a decade ago. Low-code workflow automation company Pegasystems Inc. is among those warning enterprises over the risks of technical debt and legacy systems in relation to the adoption of AI and onward to quantum etc. The firm conducted a study with UK-based research specialist Savanta, which suggested that legacy dependency happens because organizations can't stop supporting their legacy applications even if they'd like to, because the systems are still business critical. For its analysis, Pega defined technical debt and legacy systems as outdated hardware, software, or technology platforms that remain in use due to their critical role in business operations. This is despite challenges such as limited scalability, security vulnerabilities, high maintenance costs and incompatibility with modern technologies. According to Don Schuerman, chief technology officer, Pega, technical debt is the implied (often intangible) cost of additional work or strain experienced when using these applications in business. That strain is often down to the siloed nature of disconnected systems (this app doesn't connect to the backend and show my last transaction… and so on) and the cost of maintenance. Schuerman says that applications that are resource-intensive to maintain help in 'perpetuating an organizational culture of waste' today. Recognising the fact that some companies (less than 10% in Pega's study) feel legacy applications caused no problems for their business whatsoever, Schuerman and team suggest that almost half (47%) say their oldest legacy application is between 11-20 years old, while more than one in ten (16%) run apps between 21-30 years old. Pegasystems clearly used its study of legacy mindsets to its Pega Blueprint tool. This is workflow software that developers can use to 'feed legacy process documentation' into so that it can move outdated systems into cloud-ready, future-proof workflow applications. As detailed here before now, technology surveys (even the 'independently executed' ones) generally have a payload of 'findings' that they are designed to deliver. An alternative analysis of these issues by headless CMS company Storyblok suggested that developers harbor 'widespread dissatisfaction and embarrassment' due to the poor state of the tech stacks they work with. The company thinks that 'an overwhelming number of engineers' say that their technology stack is negatively impacting their job, with some even considering quitting in the past year. When asked what made these engineers most unhappy in their day-to-day jobs, the chief culprit was 'maintaining and fixing bugs on legacy systems', followed by 'dealing with non-technical stakeholders who don't understand technical limitations' and a lack of clear requirements and constantly shifting priorities. Again, Storyblok has a headless API-first developer-friendly content management system to sell, so it has a vested interest in highlighting the limitations of pre-cloud-native technologies. Looking at the issues here from a user and business safety perspective, Scott McKinnon, CSO for UK and Ireland at Palo Alto Networks says that legacy IT systems pose a severe, yet too often underestimated cybersecurity risk to organizations across every sector. 'Many businesses continue to rely on outdated infrastructure, software, and applications that were not designed to withstand the sophisticated, multi-faceted attacks that are in use today. While digital transformation accelerates, the foundational components of many enterprises remain rooted in the past, creating vast and exploitable attack surfaces that cybercriminals are quick to leverage,' explained McKinnon, speaking to press this month in London. Some agree that the UK public sector faces the same challenges, but at an even greater scale, as highlighted by a National Audit Office report. Although UK-specific, this free-to-view report has dedicated sections covering legacy systems and the challenges of implementing digital change in the face of outdated technologies. "The escalating challenges of technical debt are causing critical vulnerabilities across organizations globally. This is about far more than just legacy hardware; it encompasses accumulated shortcuts, unaddressed architectural flaws and the continued reliance on software and systems that are no longer supported or patched,' said McKinnon. 'As organizations rapidly adopt new digital initiatives, the underlying foundational technical debt creates a dangerously brittle security posture, providing easily exploitable avenues into critical assets that modern security solutions struggle to adequately protect." In search of the bottom line here, we may need to realize that legacy software will always exist. When (or if) we do get to a point where all enterprise applications are cloud-native and therefore more continuously updateable, we may have already entered the age of quantum computing, so even freshly cut cloud code will start to smell like it's past sell-by date. Yes, there are legacy software issues, yes modern workflow technologies are more efficient, no, we can't replace all legacy software tomorrow, no, generation-Z software developers are unlikely to learn COBOL rather than Python, yes, we need to find ways to live in a diverse world of dynamic software that's still changing. That might ultimately be what a modern approach to legacy software ends up meaning.
Yahoo
11-06-2025
- Business
- Yahoo
Airbyte Recognized for Innovation in GigaOm Data Pipelines Report
Analyst report recognizes Airbyte's evolution from open-source to enterprise-grade data integration platform SAN FRANCISCO, June 11, 2025--(BUSINESS WIRE)--Airbyte, the open data movement platform, today announced its inclusion in the GigaOm Radar for Data Pipelines v4 report, where it is positioned as leading in "Innovation" and a "Platform Play." This reflects Airbyte's strategic shift from a pure open-source tool introduced in 2021 to a highly innovative enterprise data integration platform. The GigaOm Radar for Data Pipelines report evaluates vendors on product capabilities and readiness for enterprise deployment, helping organizations identify the most suitable tools for their needs. The report uses a radar chart to visually compare vendor performance across key criteria. Airbyte earned its placement based on innovation, maturity, and platform completeness, critical considerations for organizations modernizing their data infrastructure while maintaining the adaptability needed to support diverse and evolving requirements. "With our goal of making data actionable and accessible anywhere, we've developed our platform to support enterprise needs, especially making data ready for artificial intelligence (AI)," said Michel Tricot, CEO and co-founder of Airbyte. "We believe the GigaOm report reinforces our position as a core component of the modern data stack and helps enterprise buyers understand that Airbyte can help them upscale their data infrastructure and build for the future." This recognition follows the announcement of a strong first quarter for Airbyte, which saw a 25% increase in revenue and growing industry acknowledgment. Airbyte recently received multiple industry recognitions for its innovation and growth. Fast Company named the company to its 2025 list of the World's Most Innovative Companies and included it among the top 10 most innovative data science companies. Airbyte was also named to the CRN AI 100 as one of the 15 Hottest AI Data and Analytics Companies providing next-generation AI offerings, the DBTA 100 as one of the Companies That Matter Most in Data and to the CRN Big Data 100 as one of the Coolest Data Management and Integration Tool Companies that solution providers should know. Collectively, this recognition signals the company's rising visibility and growing influence with enterprise technology leaders. Airbyte makes moving data easy and affordable across nearly any source and destination, ensuring enterprises have accurate, timely data for analysis and decision-making. With over 900 contributors and a community of more than 230,000 members, Airbyte supports the largest data engineering community and is the industry's only open data movement platform. The full GigaOm Radar for Data Pipelines v4 report is available here for GigaOm research subscribers. About Airbyte Airbyte, the open data movement platform, empowers data teams in the AI era by transforming raw data into actionable insights with the industry's largest ecosystem of connectors. Committed to best-in-class security and compliance standards, Airbyte offers low-code, no-code, and AI-powered connector development for structured and unstructured data. Teams can manage pipelines via API, Terraform, AI Connector Builder UI, and Python libraries across multi-cloud and hybrid environments. Trusted by 7,000 enterprises, Airbyte is the go-to solution for modern data management. For more information, visit View source version on Contacts Media Contact: Joe Eckert for Airbytejeckert@
